diff --git a/404.html b/404.html
index cb82522..243313b 100644
--- a/404.html
+++ b/404.html
@@ -346,8 +346,8 @@ <h1>Página no encontrada</h1>
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   "identifier": "https://epiverse-trace.github.io/epimodelac/404.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2024-02-20",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
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diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index 4cd8f04..5d8a590 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -280,7 +280,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Contributor Code of Conduct</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/CODE_OF_CONDUCT.md" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -364,8 +364,8 @@ <h1>Contributor Code of Conduct</h1>
   "url": "https://epiverse-trace.github.io/epimodelac/CODE_OF_CONDUCT.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/CODE_OF_CONDUCT.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
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diff --git a/EnfermedadX.html b/EnfermedadX.html
index c4d6bc7..6eade05 100644
--- a/EnfermedadX.html
+++ b/EnfermedadX.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller Día 4 - Grupo 1 - Estimación de las distribuciones de rezagos epidemiológicos: Enfermedad X</h1>
-        <p>Última actualización: 2023-12-15 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/EnfermedadX.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -822,10 +822,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <span><span class="fu">plot</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre>
 </div>
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+<div id="htmlwidget-51ebb5da267fe1e43c82" class="visNetwork html-widget" style="width:90%;height:700px;">
 
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul><li>Describa los grupos (clusters).<br></li>
 <li>¿Ve algún evento potencial de superpropagación (donde un caso
@@ -1030,10 +1030,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.977   0.003 0.358 1.348 1.721 1.955 2.203 2.735 11600    1
-par[2] 0.324   0.001 0.067 0.208 0.276 0.319 0.367 0.467 11705    1
+par[1] 1.976   0.003 0.360 1.356 1.718 1.948 2.207 2.758 12641    1
+par[2] 0.324   0.001 0.067 0.208 0.277 0.319 0.367 0.469 14221    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:55 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:22 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1061,10 +1061,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.527   0.001 0.115 1.295 1.451 1.526 1.604 1.754 10226    1
-par[2] 0.802   0.001 0.085 0.657 0.743 0.795 0.856 0.987  9217    1
+par[1] 1.528   0.001 0.114 1.302 1.451 1.528 1.605 1.754  9846    1
+par[2] 0.801   0.001 0.084 0.659 0.741 0.793 0.851 0.988  9368    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:59:02 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:28 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1091,11 +1091,11 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 4 chains, each with iter=3000; warmup=1000; thin=1; 
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
-        mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.376   0.001 0.145 1.100 1.276 1.373 1.472 1.671 10427    1
-par[2] 6.965   0.008 0.751 5.587 6.452 6.933 7.445 8.544  9196    1
+        mean se_mean    sd  2.5%   25%  50%   75% 97.5% n_eff Rhat
+par[1] 1.374   0.002 0.147 1.100 1.271 1.37 1.471 1.671  9552    1
+par[2] 6.962   0.008 0.796 5.519 6.402 6.92 7.483 8.640  9351    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:48 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:15 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1134,8 +1134,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>           weibull     gamma lognormal
-Estimate 277.93676 276.18483 272.88720
-SE        11.90899  13.43038  13.90637</code></pre>
+Estimate 278.23566 276.16312  272.8463
+SE        11.97635  13.45717   13.8713</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1158,7 +1158,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">277.9635</span> </span></code></pre>
+<span><span class="fl">278.2558</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1174,7 +1174,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span> <span class="fl">276.203</span> </span></code></pre>
+<span><span class="fl">276.1888</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1190,7 +1190,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">272.9038</span> </span></code></pre>
+<span><span class="fl">272.8601</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -1240,9 +1240,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  5.193189 5.040012  5.002077
-50%   6.344420 6.112622  6.329216
-97.5% 7.823947 7.516519  8.470304</code></pre>
+2.5%  5.139345 5.001691  5.008889
+50%   6.337823 6.110517  6.338733
+97.5% 7.935717 7.529732  8.423102</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1256,9 +1256,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  3.719368 3.423293  3.964415
-50%   4.644193 4.376780  5.932929
-97.5% 6.324745 5.845681 10.107216</code></pre>
+2.5%  3.694738 3.403794  4.016992
+50%   4.653723 4.369099  5.911588
+97.5% 6.440216 5.821701 10.117773</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1277,9 +1277,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.2242046 0.4229202 4.143452 12.61948 14.53286 16.83905
-50%   0.4769566 0.7981198 5.316007 15.36980 17.87439 20.98988
-97.5% 0.8468627 1.2982863 6.623106 20.02795 23.87645 28.79336</code></pre>
+2.5%  0.2237984 0.4194517 4.076429 12.50188 14.39804 16.70859
+50%   0.4733900 0.7925562 5.297066 15.34848 17.87059 21.03131
+97.5% 0.8469595 1.3000793 6.692650 20.35122 24.24684 29.25452</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1294,9 +1294,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.3372962 0.5711222 4.105429 11.82938 13.77878 16.29940
-50%   0.7124029 1.0544784 5.112214 14.62830 17.21169 20.53927
-97.5% 1.1910793 1.6228281 6.280460 18.71631 22.32446 27.09238</code></pre>
+2.5%  0.3416593 0.5786493 4.096250 11.78410 13.75775 16.21751
+50%   0.7121275 1.0514022 5.101358 14.60365 17.18374 20.51059
+97.5% 1.1934317 1.6172902 6.278330 18.75700 22.36088 27.03564</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1311,9 +1311,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.6170078 0.8314773 3.651054 12.51611 15.57204 19.97675
-50%   0.9694150 1.2473106 4.600722 17.03536 21.90675 29.27406
-97.5% 1.3591650 1.6883356 5.775789 25.31995 34.00843 48.48415</code></pre>
+2.5%  0.6162798 0.8328042 3.678387 12.63411 15.73144 20.20044
+50%   0.9714526 1.2474007 4.608778 16.99163 21.80132 29.21678
+97.5% 1.3662755 1.7001687 5.775023 25.18906 33.85120 48.37101</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
@@ -2356,8 +2356,8 @@ <h2 id="referencias">13. Referencias<a class="anchor" aria-label="anchor" href="
   "url": "https://epiverse-trace.github.io/epimodelac/EnfermedadX.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/EnfermedadX.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-15",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/EnfermedadX2.html b/EnfermedadX2.html
index 1422df5..b06694d 100644
--- a/EnfermedadX2.html
+++ b/EnfermedadX2.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller Día 4 - Grupo 2 - Estimación de las distribuciones de rezagos epidemiológicos: Enfermedad X</h1>
-        <p>Última actualización: 2023-12-15 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/EnfermedadX2.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -822,10 +822,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <span><span class="fu">plot</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre>
 </div>
 <!--html_preserve-->
-<div id="htmlwidget-2caf9ca87a0159d73bbd" class="visNetwork html-widget" style="width:90%;height:700px;">
+<div id="htmlwidget-b7fdb829a0623a244b47" class="visNetwork html-widget" style="width:90%;height:700px;">
 
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul><li>Describa los grupos (clusters).<br></li>
 <li>¿Ve algún evento potencial de superpropagación (donde un caso
@@ -1030,10 +1030,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 4.970   0.013 0.937 3.319 4.310 4.906 5.557 6.985  4821    1
-par[2] 0.623   0.002 0.124 0.407 0.536 0.615 0.699 0.893  4879    1
+par[1] 4.977   0.012 0.945 3.324 4.307 4.914 5.579 7.016  6469    1
+par[2] 0.625   0.002 0.124 0.407 0.537 0.618 0.705 0.889  6660    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:44 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:18 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1061,10 +1061,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.971   0.001 0.075 1.823 1.919 1.971 2.022 2.117 10498    1
-par[2] 0.538   0.001 0.057 0.442 0.498 0.532 0.572 0.665  9577    1
+par[1] 1.971   0.001 0.075 1.826 1.918 1.972 2.022 2.116 11525    1
+par[2] 0.537   0.001 0.056 0.441 0.498 0.533 0.571 0.660 10101    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:50 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:25 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1092,10 +1092,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75%  97.5% n_eff Rhat
-par[1] 2.591   0.003 0.285 2.061 2.397 2.588 2.776  3.165  9217    1
-par[2] 9.069   0.005 0.526 8.080 8.707 9.056 9.419 10.128  9896    1
+par[1] 2.588   0.003 0.291 2.033 2.388 2.579 2.779  3.178  8117    1
+par[2] 9.069   0.006 0.532 8.072 8.708 9.057 9.410 10.162  7834    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:35 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:10 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1134,8 +1134,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>            weibull     gamma lognormal
-Estimate 264.736669 270.08176 279.55658
-SE         9.041485  12.10039  14.40529</code></pre>
+Estimate 264.828134 270.15640 279.47005
+SE         9.033561  12.16038  14.44951</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1158,7 +1158,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">264.7548</span> </span></code></pre>
+<span><span class="fl">264.8529</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1174,7 +1174,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">270.2118</span> </span></code></pre>
+<span><span class="fl">270.2641</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1190,7 +1190,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">279.8647</span> </span></code></pre>
+<span> <span class="fl">279.775</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -1240,9 +1240,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  7.166408 7.048797  7.139865
-50%   8.050316 7.980002  8.280042
-97.5% 9.010865 9.084551  9.858300</code></pre>
+2.5%  7.160701 7.026904  7.155187
+50%   8.051781 7.977683  8.277368
+97.5% 9.036671 9.058713  9.802142</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1256,9 +1256,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  2.816089 2.913013  3.550505
-50%   3.332498 3.598067  4.736706
-97.5% 4.122998 4.566864  6.926761</code></pre>
+2.5%  2.810943 2.923958  3.561417
+50%   3.334650 3.593261  4.734118
+97.5% 4.142555 4.560286  6.805288</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1277,9 +1277,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.453564 2.036469 6.881268 12.41027 13.36497 14.43399
-50%   2.187483 2.872388 7.858976 13.84891 15.00529 16.35318
-97.5% 2.974759 3.721743 8.858746 15.94222 17.48591 19.38428</code></pre>
+2.5%  1.412929 1.993634 6.865273 12.38539 13.36489 14.45660
+50%   2.181387 2.866257 7.865025 13.84515 15.00864 16.35457
+97.5% 2.985910 3.738627 8.859006 16.04839 17.64251 19.50630</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1294,9 +1294,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.773134 2.287999 6.523371 12.72761 14.12862 15.83884
-50%   2.561557 3.114111 7.440398 14.68459 16.45753 18.65891
-97.5% 3.301291 3.870150 8.445851 17.39811 19.75913 22.72165</code></pre>
+2.5%  1.793958 2.301751 6.491852 12.71547 14.13727 15.86663
+50%   2.557483 3.110297 7.437657 14.65258 16.39417 18.60247
+97.5% 3.303374 3.871443 8.439026 17.37844 19.67257 22.60961</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1311,9 +1311,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.873328 2.286128 6.189757 14.09790 16.28170 19.27680
-50%   2.529552 2.988317 7.180109 17.23603 20.36840 24.77764
-97.5% 3.148927 3.643249 8.305818 22.69852 27.76931 35.17777</code></pre>
+2.5%  1.872793 2.283365 6.206790 14.13183 16.33206 19.29064
+50%   2.531963 2.993510 7.186094 17.23017 20.38082 24.76960
+97.5% 3.160818 3.655460 8.293785 22.31122 27.22447 34.50549</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
@@ -2361,8 +2361,8 @@ <h2 id="referencias">13. Referencias<a class="anchor" aria-label="anchor" href="
   "url": "https://epiverse-trace.github.io/epimodelac/EnfermedadX2.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/EnfermedadX2.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-15",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/LICENSE.html b/LICENSE.html
index b16c749..a608888 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -280,7 +280,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Licenses</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/LICENSE.md" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -412,8 +412,8 @@ <h1>Licenses</h1>
   "url": "https://epiverse-trace.github.io/epimodelac/LICENSE.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/LICENSE.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/Serofoi-tutorial.html b/Serofoi-tutorial.html
index efc58de..f56856d 100644
--- a/Serofoi-tutorial.html
+++ b/Serofoi-tutorial.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Tutorial Serofoi</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Serofoi-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -815,8 +815,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/Serofoi-tutorial.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/Serofoi-tutorial.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/Sivirep-tutorial.html b/Sivirep-tutorial.html
index be76328..fe589ea 100644
--- a/Sivirep-tutorial.html
+++ b/Sivirep-tutorial.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller sivirep</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Sivirep-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -737,8 +737,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/Sivirep-tutorial.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/Sivirep-tutorial.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/TallerIntroAnaliticaBrotes.html b/TallerIntroAnaliticaBrotes.html
index 9ccd109..fe1ab42 100644
--- a/TallerIntroAnaliticaBrotes.html
+++ b/TallerIntroAnaliticaBrotes.html
@@ -297,7 +297,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller Día 2 - Introducción a la analítica de brotes</h1>
-        <p>Última actualización: 2023-12-15 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/TallerIntroAnaliticaBrotes.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -1342,8 +1342,8 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
   "url": "https://epiverse-trace.github.io/epimodelac/TallerIntroAnaliticaBrotes.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/TallerIntroAnaliticaBrotes.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-15",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/Vaccineff-tutorial.html b/Vaccineff-tutorial.html
index fc84de9..b123b03 100644
--- a/Vaccineff-tutorial.html
+++ b/Vaccineff-tutorial.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Tutorial Vaccineff: Introducción al cálculo de efectividad vacunal con cohortes usando vaccineff</h1>
-        <p>Última actualización: 2023-12-16 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Vaccineff-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -1024,8 +1024,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/Vaccineff-tutorial.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/Vaccineff-tutorial.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-16",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/ZIKAB.html b/ZIKAB.html
index 16c049d..da110f6 100644
--- a/ZIKAB.html
+++ b/ZIKAB.html
@@ -303,7 +303,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller Día 3 - Construyendo un modelo matemático simple para Zika.</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/ZIKAB.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -839,8 +839,8 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
   "url": "https://epiverse-trace.github.io/epimodelac/ZIKAB.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/ZIKAB.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/aio.html b/aio.html
index 0f2d707..49686f2 100644
--- a/aio.html
+++ b/aio.html
@@ -336,7 +336,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
         
 <section id="aio-TallerIntroAnaliticaBrotes"><p>Content from <a href="TallerIntroAnaliticaBrotes.html">Taller Día 2 - Introducción a la analítica de brotes</a></p>
 <hr>
-<p>Última actualización: 2023-12-15 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/TallerIntroAnaliticaBrotes.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -1385,7 +1385,7 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
 </div>
 </section></section><section id="aio-ZIKAB"><p>Content from <a href="ZIKAB.html">Taller Día 3 - Construyendo un modelo matemático simple para Zika.</a></p>
 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/ZIKAB.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -1905,7 +1905,7 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
 </div>
 </section></section><section id="aio-EnfermedadX"><p>Content from <a href="EnfermedadX.html">Taller Día 4 - Grupo 1 - Estimación de las distribuciones de rezagos epidemiológicos: Enfermedad X</a></p>
 <hr>
-<p>Última actualización: 2023-12-15 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/EnfermedadX.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -2474,10 +2474,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <span><span class="fu">plot</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre>
 </div>
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-<div id="htmlwidget-4535202a7ac9b836e220" class="visNetwork html-widget" style="width:90%;height:700px;">
+<div id="htmlwidget-51ebb5da267fe1e43c82" class="visNetwork html-widget" style="width:90%;height:700px;">
 
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul>
 <li>Describa los grupos (clusters).<br>
@@ -2701,10 +2701,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.977   0.003 0.358 1.348 1.721 1.955 2.203 2.735 11600    1
-par[2] 0.324   0.001 0.067 0.208 0.276 0.319 0.367 0.467 11705    1
+par[1] 1.976   0.003 0.360 1.356 1.718 1.948 2.207 2.758 12641    1
+par[2] 0.324   0.001 0.067 0.208 0.277 0.319 0.367 0.469 14221    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:55 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:22 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -2735,10 +2735,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.527   0.001 0.115 1.295 1.451 1.526 1.604 1.754 10226    1
-par[2] 0.802   0.001 0.085 0.657 0.743 0.795 0.856 0.987  9217    1
+par[1] 1.528   0.001 0.114 1.302 1.451 1.528 1.605 1.754  9846    1
+par[2] 0.801   0.001 0.084 0.659 0.741 0.793 0.851 0.988  9368    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:59:02 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:28 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -2768,11 +2768,11 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 4 chains, each with iter=3000; warmup=1000; thin=1; 
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
-        mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.376   0.001 0.145 1.100 1.276 1.373 1.472 1.671 10427    1
-par[2] 6.965   0.008 0.751 5.587 6.452 6.933 7.445 8.544  9196    1
+        mean se_mean    sd  2.5%   25%  50%   75% 97.5% n_eff Rhat
+par[1] 1.374   0.002 0.147 1.100 1.271 1.37 1.471 1.671  9552    1
+par[2] 6.962   0.008 0.796 5.519 6.402 6.92 7.483 8.640  9351    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:48 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:15 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -2816,8 +2816,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>           weibull     gamma lognormal
-Estimate 277.93676 276.18483 272.88720
-SE        11.90899  13.43038  13.90637</code></pre>
+Estimate 278.23566 276.16312  272.8463
+SE        11.97635  13.45717   13.8713</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -2840,7 +2840,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">277.9635</span> </span></code></pre>
+<span><span class="fl">278.2558</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -2856,7 +2856,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span> <span class="fl">276.203</span> </span></code></pre>
+<span><span class="fl">276.1888</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -2872,7 +2872,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">272.9038</span> </span></code></pre>
+<span><span class="fl">272.8601</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -2924,9 +2924,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  5.193189 5.040012  5.002077
-50%   6.344420 6.112622  6.329216
-97.5% 7.823947 7.516519  8.470304</code></pre>
+2.5%  5.139345 5.001691  5.008889
+50%   6.337823 6.110517  6.338733
+97.5% 7.935717 7.529732  8.423102</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -2940,9 +2940,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  3.719368 3.423293  3.964415
-50%   4.644193 4.376780  5.932929
-97.5% 6.324745 5.845681 10.107216</code></pre>
+2.5%  3.694738 3.403794  4.016992
+50%   4.653723 4.369099  5.911588
+97.5% 6.440216 5.821701 10.117773</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -2961,9 +2961,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.2242046 0.4229202 4.143452 12.61948 14.53286 16.83905
-50%   0.4769566 0.7981198 5.316007 15.36980 17.87439 20.98988
-97.5% 0.8468627 1.2982863 6.623106 20.02795 23.87645 28.79336</code></pre>
+2.5%  0.2237984 0.4194517 4.076429 12.50188 14.39804 16.70859
+50%   0.4733900 0.7925562 5.297066 15.34848 17.87059 21.03131
+97.5% 0.8469595 1.3000793 6.692650 20.35122 24.24684 29.25452</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -2978,9 +2978,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.3372962 0.5711222 4.105429 11.82938 13.77878 16.29940
-50%   0.7124029 1.0544784 5.112214 14.62830 17.21169 20.53927
-97.5% 1.1910793 1.6228281 6.280460 18.71631 22.32446 27.09238</code></pre>
+2.5%  0.3416593 0.5786493 4.096250 11.78410 13.75775 16.21751
+50%   0.7121275 1.0514022 5.101358 14.60365 17.18374 20.51059
+97.5% 1.1934317 1.6172902 6.278330 18.75700 22.36088 27.03564</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -2995,9 +2995,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.6170078 0.8314773 3.651054 12.51611 15.57204 19.97675
-50%   0.9694150 1.2473106 4.600722 17.03536 21.90675 29.27406
-97.5% 1.3591650 1.6883356 5.775789 25.31995 34.00843 48.48415</code></pre>
+2.5%  0.6162798 0.8328042 3.678387 12.63411 15.73144 20.20044
+50%   0.9714526 1.2474007 4.608778 16.99163 21.80132 29.21678
+97.5% 1.3662755 1.7001687 5.775023 25.18906 33.85120 48.37101</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
@@ -4055,7 +4055,7 @@ <h2 id="referencias">13. Referencias<a class="anchor" aria-label="anchor" href="
 </div>
 </div></section><section id="aio-EnfermedadX2"><p>Content from <a href="EnfermedadX2.html">Taller Día 4 - Grupo 2 - Estimación de las distribuciones de rezagos epidemiológicos: Enfermedad X</a></p>
 <hr>
-<p>Última actualización: 2023-12-15 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/EnfermedadX2.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <div class="text-end">
@@ -4624,10 +4624,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <span><span class="fu">plot</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre>
 </div>
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul>
 <li>Describa los grupos (clusters).<br>
@@ -4851,10 +4851,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 4.970   0.013 0.937 3.319 4.310 4.906 5.557 6.985  4821    1
-par[2] 0.623   0.002 0.124 0.407 0.536 0.615 0.699 0.893  4879    1
+par[1] 4.977   0.012 0.945 3.324 4.307 4.914 5.579 7.016  6469    1
+par[2] 0.625   0.002 0.124 0.407 0.537 0.618 0.705 0.889  6660    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:44 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:18 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -4885,10 +4885,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.971   0.001 0.075 1.823 1.919 1.971 2.022 2.117 10498    1
-par[2] 0.538   0.001 0.057 0.442 0.498 0.532 0.572 0.665  9577    1
+par[1] 1.971   0.001 0.075 1.826 1.918 1.972 2.022 2.116 11525    1
+par[2] 0.537   0.001 0.056 0.441 0.498 0.533 0.571 0.660 10101    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:50 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:25 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -4919,10 +4919,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75%  97.5% n_eff Rhat
-par[1] 2.591   0.003 0.285 2.061 2.397 2.588 2.776  3.165  9217    1
-par[2] 9.069   0.005 0.526 8.080 8.707 9.056 9.419 10.128  9896    1
+par[1] 2.588   0.003 0.291 2.033 2.388 2.579 2.779  3.178  8117    1
+par[2] 9.069   0.006 0.532 8.072 8.708 9.057 9.410 10.162  7834    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:35 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:10 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -4966,8 +4966,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>            weibull     gamma lognormal
-Estimate 264.736669 270.08176 279.55658
-SE         9.041485  12.10039  14.40529</code></pre>
+Estimate 264.828134 270.15640 279.47005
+SE         9.033561  12.16038  14.44951</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -4990,7 +4990,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">264.7548</span> </span></code></pre>
+<span><span class="fl">264.8529</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5006,7 +5006,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">270.2118</span> </span></code></pre>
+<span><span class="fl">270.2641</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5022,7 +5022,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">279.8647</span> </span></code></pre>
+<span> <span class="fl">279.775</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -5074,9 +5074,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  7.166408 7.048797  7.139865
-50%   8.050316 7.980002  8.280042
-97.5% 9.010865 9.084551  9.858300</code></pre>
+2.5%  7.160701 7.026904  7.155187
+50%   8.051781 7.977683  8.277368
+97.5% 9.036671 9.058713  9.802142</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5090,9 +5090,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  2.816089 2.913013  3.550505
-50%   3.332498 3.598067  4.736706
-97.5% 4.122998 4.566864  6.926761</code></pre>
+2.5%  2.810943 2.923958  3.561417
+50%   3.334650 3.593261  4.734118
+97.5% 4.142555 4.560286  6.805288</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5111,9 +5111,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.453564 2.036469 6.881268 12.41027 13.36497 14.43399
-50%   2.187483 2.872388 7.858976 13.84891 15.00529 16.35318
-97.5% 2.974759 3.721743 8.858746 15.94222 17.48591 19.38428</code></pre>
+2.5%  1.412929 1.993634 6.865273 12.38539 13.36489 14.45660
+50%   2.181387 2.866257 7.865025 13.84515 15.00864 16.35457
+97.5% 2.985910 3.738627 8.859006 16.04839 17.64251 19.50630</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5128,9 +5128,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.773134 2.287999 6.523371 12.72761 14.12862 15.83884
-50%   2.561557 3.114111 7.440398 14.68459 16.45753 18.65891
-97.5% 3.301291 3.870150 8.445851 17.39811 19.75913 22.72165</code></pre>
+2.5%  1.793958 2.301751 6.491852 12.71547 14.13727 15.86663
+50%   2.557483 3.110297 7.437657 14.65258 16.39417 18.60247
+97.5% 3.303374 3.871443 8.439026 17.37844 19.67257 22.60961</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5145,9 +5145,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.873328 2.286128 6.189757 14.09790 16.28170 19.27680
-50%   2.529552 2.988317 7.180109 17.23603 20.36840 24.77764
-97.5% 3.148927 3.643249 8.305818 22.69852 27.76931 35.17777</code></pre>
+2.5%  1.872793 2.283365 6.206790 14.13183 16.33206 19.29064
+50%   2.531963 2.993510 7.186094 17.23017 20.38082 24.76960
+97.5% 3.160818 3.655460 8.293785 22.31122 27.22447 34.50549</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
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 </div></section><section id="aio-Sivirep-tutorial"><p>Content from <a href="Sivirep-tutorial.html">Taller sivirep</a></p>
 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
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 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
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 <hr>
-<p>Última actualización: 2023-12-16 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Vaccineff-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
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@@ -7883,7 +7883,7 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
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 </section></section><section id="aio-epiCo-tutorial"><p>Content from <a href="epiCo-tutorial.html">Tutorial epiCo</a></p>
 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/epiCo-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
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@@ -8595,10 +8595,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <code class="sourceCode R"><span><span class="va">monrans_tolima</span><span class="op">$</span><span class="va">leaflet_map</span></span></code></pre>
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 </div>
 <div class="section level3">
 <h3 id="interpretación-de-los-resultados-del-mapa">2. Interpretación de los resultados del mapa<a class="anchor" aria-label="anchor" href="#interpretaci%C3%B3n-de-los-resultados-del-mapa"></a>
@@ -8739,8 +8739,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/aio.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/aio.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2024-02-20",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/epiCo-tutorial.html b/epiCo-tutorial.html
index ef39505..b57e1d7 100644
--- a/epiCo-tutorial.html
+++ b/epiCo-tutorial.html
@@ -284,7 +284,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Tutorial epiCo</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/epiCo-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -961,10 +961,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <code class="sourceCode R"><span><span class="va">monrans_tolima</span><span class="op">$</span><span class="va">leaflet_map</span></span></code></pre>
 </div>
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul><li>Describa los grupos (clusters).<br></li>
 <li>¿Ve algún evento potencial de superpropagación (donde un caso
@@ -1032,10 +1032,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.977   0.003 0.358 1.348 1.721 1.955 2.203 2.735 11600    1
-par[2] 0.324   0.001 0.067 0.208 0.276 0.319 0.367 0.467 11705    1
+par[1] 1.976   0.003 0.360 1.356 1.718 1.948 2.207 2.758 12641    1
+par[2] 0.324   0.001 0.067 0.208 0.277 0.319 0.367 0.469 14221    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:55 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:22 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1063,10 +1063,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.527   0.001 0.115 1.295 1.451 1.526 1.604 1.754 10226    1
-par[2] 0.802   0.001 0.085 0.657 0.743 0.795 0.856 0.987  9217    1
+par[1] 1.528   0.001 0.114 1.302 1.451 1.528 1.605 1.754  9846    1
+par[2] 0.801   0.001 0.084 0.659 0.741 0.793 0.851 0.988  9368    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:59:02 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:28 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1093,11 +1093,11 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 4 chains, each with iter=3000; warmup=1000; thin=1; 
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
-        mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.376   0.001 0.145 1.100 1.276 1.373 1.472 1.671 10427    1
-par[2] 6.965   0.008 0.751 5.587 6.452 6.933 7.445 8.544  9196    1
+        mean se_mean    sd  2.5%   25%  50%   75% 97.5% n_eff Rhat
+par[1] 1.374   0.002 0.147 1.100 1.271 1.37 1.471 1.671  9552    1
+par[2] 6.962   0.008 0.796 5.519 6.402 6.92 7.483 8.640  9351    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:48 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:15 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1136,8 +1136,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>           weibull     gamma lognormal
-Estimate 277.93676 276.18483 272.88720
-SE        11.90899  13.43038  13.90637</code></pre>
+Estimate 278.23566 276.16312  272.8463
+SE        11.97635  13.45717   13.8713</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1160,7 +1160,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">277.9635</span> </span></code></pre>
+<span><span class="fl">278.2558</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1176,7 +1176,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span> <span class="fl">276.203</span> </span></code></pre>
+<span><span class="fl">276.1888</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1192,7 +1192,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">272.9038</span> </span></code></pre>
+<span><span class="fl">272.8601</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -1242,9 +1242,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  5.193189 5.040012  5.002077
-50%   6.344420 6.112622  6.329216
-97.5% 7.823947 7.516519  8.470304</code></pre>
+2.5%  5.139345 5.001691  5.008889
+50%   6.337823 6.110517  6.338733
+97.5% 7.935717 7.529732  8.423102</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1258,9 +1258,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  3.719368 3.423293  3.964415
-50%   4.644193 4.376780  5.932929
-97.5% 6.324745 5.845681 10.107216</code></pre>
+2.5%  3.694738 3.403794  4.016992
+50%   4.653723 4.369099  5.911588
+97.5% 6.440216 5.821701 10.117773</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1279,9 +1279,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.2242046 0.4229202 4.143452 12.61948 14.53286 16.83905
-50%   0.4769566 0.7981198 5.316007 15.36980 17.87439 20.98988
-97.5% 0.8468627 1.2982863 6.623106 20.02795 23.87645 28.79336</code></pre>
+2.5%  0.2237984 0.4194517 4.076429 12.50188 14.39804 16.70859
+50%   0.4733900 0.7925562 5.297066 15.34848 17.87059 21.03131
+97.5% 0.8469595 1.3000793 6.692650 20.35122 24.24684 29.25452</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1296,9 +1296,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.3372962 0.5711222 4.105429 11.82938 13.77878 16.29940
-50%   0.7124029 1.0544784 5.112214 14.62830 17.21169 20.53927
-97.5% 1.1910793 1.6228281 6.280460 18.71631 22.32446 27.09238</code></pre>
+2.5%  0.3416593 0.5786493 4.096250 11.78410 13.75775 16.21751
+50%   0.7121275 1.0514022 5.101358 14.60365 17.18374 20.51059
+97.5% 1.1934317 1.6172902 6.278330 18.75700 22.36088 27.03564</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1313,9 +1313,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.6170078 0.8314773 3.651054 12.51611 15.57204 19.97675
-50%   0.9694150 1.2473106 4.600722 17.03536 21.90675 29.27406
-97.5% 1.3591650 1.6883356 5.775789 25.31995 34.00843 48.48415</code></pre>
+2.5%  0.6162798 0.8328042 3.678387 12.63411 15.73144 20.20044
+50%   0.9714526 1.2474007 4.608778 16.99163 21.80132 29.21678
+97.5% 1.3662755 1.7001687 5.775023 25.18906 33.85120 48.37101</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
@@ -2358,8 +2358,8 @@ <h2 id="referencias">13. Referencias<a class="anchor" aria-label="anchor" href="
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/EnfermedadX.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/EnfermedadX.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-15",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/EnfermedadX2.html b/instructor/EnfermedadX2.html
index a5682a3..38aa655 100644
--- a/instructor/EnfermedadX2.html
+++ b/instructor/EnfermedadX2.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller Día 4 - Grupo 2 - Estimación de las distribuciones de rezagos epidemiológicos: Enfermedad X</h1>
-        <p>Última actualización: 2023-12-15 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/EnfermedadX2.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -824,10 +824,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <span><span class="fu">plot</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre>
 </div>
 <!--html_preserve-->
-<div id="htmlwidget-2caf9ca87a0159d73bbd" class="visNetwork html-widget" style="width:90%;height:700px;">
+<div id="htmlwidget-b7fdb829a0623a244b47" class="visNetwork html-widget" style="width:90%;height:700px;">
 
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul><li>Describa los grupos (clusters).<br></li>
 <li>¿Ve algún evento potencial de superpropagación (donde un caso
@@ -1032,10 +1032,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 4.970   0.013 0.937 3.319 4.310 4.906 5.557 6.985  4821    1
-par[2] 0.623   0.002 0.124 0.407 0.536 0.615 0.699 0.893  4879    1
+par[1] 4.977   0.012 0.945 3.324 4.307 4.914 5.579 7.016  6469    1
+par[2] 0.625   0.002 0.124 0.407 0.537 0.618 0.705 0.889  6660    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:44 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:18 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1063,10 +1063,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.971   0.001 0.075 1.823 1.919 1.971 2.022 2.117 10498    1
-par[2] 0.538   0.001 0.057 0.442 0.498 0.532 0.572 0.665  9577    1
+par[1] 1.971   0.001 0.075 1.826 1.918 1.972 2.022 2.116 11525    1
+par[2] 0.537   0.001 0.056 0.441 0.498 0.533 0.571 0.660 10101    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:50 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:25 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1094,10 +1094,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75%  97.5% n_eff Rhat
-par[1] 2.591   0.003 0.285 2.061 2.397 2.588 2.776  3.165  9217    1
-par[2] 9.069   0.005 0.526 8.080 8.707 9.056 9.419 10.128  9896    1
+par[1] 2.588   0.003 0.291 2.033 2.388 2.579 2.779  3.178  8117    1
+par[2] 9.069   0.006 0.532 8.072 8.708 9.057 9.410 10.162  7834    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:35 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:10 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -1136,8 +1136,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>            weibull     gamma lognormal
-Estimate 264.736669 270.08176 279.55658
-SE         9.041485  12.10039  14.40529</code></pre>
+Estimate 264.828134 270.15640 279.47005
+SE         9.033561  12.16038  14.44951</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1160,7 +1160,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">264.7548</span> </span></code></pre>
+<span><span class="fl">264.8529</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1176,7 +1176,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">270.2118</span> </span></code></pre>
+<span><span class="fl">270.2641</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1192,7 +1192,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">279.8647</span> </span></code></pre>
+<span> <span class="fl">279.775</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -1242,9 +1242,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  7.166408 7.048797  7.139865
-50%   8.050316 7.980002  8.280042
-97.5% 9.010865 9.084551  9.858300</code></pre>
+2.5%  7.160701 7.026904  7.155187
+50%   8.051781 7.977683  8.277368
+97.5% 9.036671 9.058713  9.802142</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1258,9 +1258,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  2.816089 2.913013  3.550505
-50%   3.332498 3.598067  4.736706
-97.5% 4.122998 4.566864  6.926761</code></pre>
+2.5%  2.810943 2.923958  3.561417
+50%   3.334650 3.593261  4.734118
+97.5% 4.142555 4.560286  6.805288</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1279,9 +1279,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.453564 2.036469 6.881268 12.41027 13.36497 14.43399
-50%   2.187483 2.872388 7.858976 13.84891 15.00529 16.35318
-97.5% 2.974759 3.721743 8.858746 15.94222 17.48591 19.38428</code></pre>
+2.5%  1.412929 1.993634 6.865273 12.38539 13.36489 14.45660
+50%   2.181387 2.866257 7.865025 13.84515 15.00864 16.35457
+97.5% 2.985910 3.738627 8.859006 16.04839 17.64251 19.50630</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1296,9 +1296,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.773134 2.287999 6.523371 12.72761 14.12862 15.83884
-50%   2.561557 3.114111 7.440398 14.68459 16.45753 18.65891
-97.5% 3.301291 3.870150 8.445851 17.39811 19.75913 22.72165</code></pre>
+2.5%  1.793958 2.301751 6.491852 12.71547 14.13727 15.86663
+50%   2.557483 3.110297 7.437657 14.65258 16.39417 18.60247
+97.5% 3.303374 3.871443 8.439026 17.37844 19.67257 22.60961</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -1313,9 +1313,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.873328 2.286128 6.189757 14.09790 16.28170 19.27680
-50%   2.529552 2.988317 7.180109 17.23603 20.36840 24.77764
-97.5% 3.148927 3.643249 8.305818 22.69852 27.76931 35.17777</code></pre>
+2.5%  1.872793 2.283365 6.206790 14.13183 16.33206 19.29064
+50%   2.531963 2.993510 7.186094 17.23017 20.38082 24.76960
+97.5% 3.160818 3.655460 8.293785 22.31122 27.22447 34.50549</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
@@ -2363,8 +2363,8 @@ <h2 id="referencias">13. Referencias<a class="anchor" aria-label="anchor" href="
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/EnfermedadX2.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/EnfermedadX2.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-15",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/LICENSE.html b/instructor/LICENSE.html
index 9ad0c5a..49a0fa3 100644
--- a/instructor/LICENSE.html
+++ b/instructor/LICENSE.html
@@ -280,7 +280,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Licenses</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/LICENSE.md" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -414,8 +414,8 @@ <h1>Licenses</h1>
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/LICENSE.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/LICENSE.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/Serofoi-tutorial.html b/instructor/Serofoi-tutorial.html
index 172da5f..a45ae37 100644
--- a/instructor/Serofoi-tutorial.html
+++ b/instructor/Serofoi-tutorial.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Tutorial Serofoi</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Serofoi-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -817,8 +817,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/Serofoi-tutorial.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/Serofoi-tutorial.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/Sivirep-tutorial.html b/instructor/Sivirep-tutorial.html
index 5881e83..bb57204 100644
--- a/instructor/Sivirep-tutorial.html
+++ b/instructor/Sivirep-tutorial.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller sivirep</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Sivirep-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -739,8 +739,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/Sivirep-tutorial.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/Sivirep-tutorial.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/TallerIntroAnaliticaBrotes.html b/instructor/TallerIntroAnaliticaBrotes.html
index 7214504..bcdb492 100644
--- a/instructor/TallerIntroAnaliticaBrotes.html
+++ b/instructor/TallerIntroAnaliticaBrotes.html
@@ -297,7 +297,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller Día 2 - Introducción a la analítica de brotes</h1>
-        <p>Última actualización: 2023-12-15 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/TallerIntroAnaliticaBrotes.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -1693,8 +1693,8 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/TallerIntroAnaliticaBrotes.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/TallerIntroAnaliticaBrotes.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-15",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/Vaccineff-tutorial.html b/instructor/Vaccineff-tutorial.html
index e1bcdab..08b64d0 100644
--- a/instructor/Vaccineff-tutorial.html
+++ b/instructor/Vaccineff-tutorial.html
@@ -296,7 +296,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Tutorial Vaccineff: Introducción al cálculo de efectividad vacunal con cohortes usando vaccineff</h1>
-        <p>Última actualización: 2023-12-16 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Vaccineff-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -1026,8 +1026,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/Vaccineff-tutorial.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/Vaccineff-tutorial.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-16",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/ZIKAB.html b/instructor/ZIKAB.html
index 7cdd6a0..c8fbf8b 100644
--- a/instructor/ZIKAB.html
+++ b/instructor/ZIKAB.html
@@ -303,7 +303,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Taller Día 3 - Construyendo un modelo matemático simple para Zika.</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/ZIKAB.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -991,8 +991,8 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/ZIKAB.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/ZIKAB.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2023-12-11",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/aio.html b/instructor/aio.html
index 387fcd0..6257380 100644
--- a/instructor/aio.html
+++ b/instructor/aio.html
@@ -338,7 +338,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
         
 <section id="aio-TallerIntroAnaliticaBrotes"><p>Content from <a href="TallerIntroAnaliticaBrotes.html">Taller Día 2 - Introducción a la analítica de brotes</a></p>
 <hr>
-<p>Última actualización: 2023-12-15 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/TallerIntroAnaliticaBrotes.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 94 minutos</p>
@@ -1747,7 +1747,7 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
 </div>
 </section></section><section id="aio-ZIKAB"><p>Content from <a href="ZIKAB.html">Taller Día 3 - Construyendo un modelo matemático simple para Zika.</a></p>
 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/ZIKAB.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 84 minutos</p>
@@ -2418,7 +2418,7 @@ <h3 class="callout-title">Puntos clave<a class="anchor" aria-label="anclaje" hre
 </div>
 </section></section><section id="aio-EnfermedadX"><p>Content from <a href="EnfermedadX.html">Taller Día 4 - Grupo 1 - Estimación de las distribuciones de rezagos epidemiológicos: Enfermedad X</a></p>
 <hr>
-<p>Última actualización: 2023-12-15 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/EnfermedadX.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 98 minutos</p>
@@ -2988,10 +2988,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <span><span class="fu">plot</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre>
 </div>
 <!--html_preserve-->
-<div id="htmlwidget-4535202a7ac9b836e220" class="visNetwork html-widget" style="width:90%;height:700px;">
+<div id="htmlwidget-51ebb5da267fe1e43c82" class="visNetwork html-widget" style="width:90%;height:700px;">
 
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul>
 <li>Describa los grupos (clusters).<br>
@@ -3215,10 +3215,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.977   0.003 0.358 1.348 1.721 1.955 2.203 2.735 11600    1
-par[2] 0.324   0.001 0.067 0.208 0.276 0.319 0.367 0.467 11705    1
+par[1] 1.976   0.003 0.360 1.356 1.718 1.948 2.207 2.758 12641    1
+par[2] 0.324   0.001 0.067 0.208 0.277 0.319 0.367 0.469 14221    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:55 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:22 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -3249,10 +3249,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.527   0.001 0.115 1.295 1.451 1.526 1.604 1.754 10226    1
-par[2] 0.802   0.001 0.085 0.657 0.743 0.795 0.856 0.987  9217    1
+par[1] 1.528   0.001 0.114 1.302 1.451 1.528 1.605 1.754  9846    1
+par[2] 0.801   0.001 0.084 0.659 0.741 0.793 0.851 0.988  9368    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:59:02 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:28 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -3282,11 +3282,11 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 4 chains, each with iter=3000; warmup=1000; thin=1; 
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
-        mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.376   0.001 0.145 1.100 1.276 1.373 1.472 1.671 10427    1
-par[2] 6.965   0.008 0.751 5.587 6.452 6.933 7.445 8.544  9196    1
+        mean se_mean    sd  2.5%   25%  50%   75% 97.5% n_eff Rhat
+par[1] 1.374   0.002 0.147 1.100 1.271 1.37 1.471 1.671  9552    1
+par[2] 6.962   0.008 0.796 5.519 6.402 6.92 7.483 8.640  9351    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 21:58:48 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 01:56:15 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -3330,8 +3330,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>           weibull     gamma lognormal
-Estimate 277.93676 276.18483 272.88720
-SE        11.90899  13.43038  13.90637</code></pre>
+Estimate 278.23566 276.16312  272.8463
+SE        11.97635  13.45717   13.8713</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3354,7 +3354,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">277.9635</span> </span></code></pre>
+<span><span class="fl">278.2558</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3370,7 +3370,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span> <span class="fl">276.203</span> </span></code></pre>
+<span><span class="fl">276.1888</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3386,7 +3386,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">272.9038</span> </span></code></pre>
+<span><span class="fl">272.8601</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -3438,9 +3438,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  5.193189 5.040012  5.002077
-50%   6.344420 6.112622  6.329216
-97.5% 7.823947 7.516519  8.470304</code></pre>
+2.5%  5.139345 5.001691  5.008889
+50%   6.337823 6.110517  6.338733
+97.5% 7.935717 7.529732  8.423102</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3454,9 +3454,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  3.719368 3.423293  3.964415
-50%   4.644193 4.376780  5.932929
-97.5% 6.324745 5.845681 10.107216</code></pre>
+2.5%  3.694738 3.403794  4.016992
+50%   4.653723 4.369099  5.911588
+97.5% 6.440216 5.821701 10.117773</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3475,9 +3475,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.2242046 0.4229202 4.143452 12.61948 14.53286 16.83905
-50%   0.4769566 0.7981198 5.316007 15.36980 17.87439 20.98988
-97.5% 0.8468627 1.2982863 6.623106 20.02795 23.87645 28.79336</code></pre>
+2.5%  0.2237984 0.4194517 4.076429 12.50188 14.39804 16.70859
+50%   0.4733900 0.7925562 5.297066 15.34848 17.87059 21.03131
+97.5% 0.8469595 1.3000793 6.692650 20.35122 24.24684 29.25452</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3492,9 +3492,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.3372962 0.5711222 4.105429 11.82938 13.77878 16.29940
-50%   0.7124029 1.0544784 5.112214 14.62830 17.21169 20.53927
-97.5% 1.1910793 1.6228281 6.280460 18.71631 22.32446 27.09238</code></pre>
+2.5%  0.3416593 0.5786493 4.096250 11.78410 13.75775 16.21751
+50%   0.7121275 1.0514022 5.101358 14.60365 17.18374 20.51059
+97.5% 1.1934317 1.6172902 6.278330 18.75700 22.36088 27.03564</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -3509,9 +3509,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>          0.025      0.05      0.5     0.95    0.975     0.99
-2.5%  0.6170078 0.8314773 3.651054 12.51611 15.57204 19.97675
-50%   0.9694150 1.2473106 4.600722 17.03536 21.90675 29.27406
-97.5% 1.3591650 1.6883356 5.775789 25.31995 34.00843 48.48415</code></pre>
+2.5%  0.6162798 0.8328042 3.678387 12.63411 15.73144 20.20044
+50%   0.9714526 1.2474007 4.608778 16.99163 21.80132 29.21678
+97.5% 1.3662755 1.7001687 5.775023 25.18906 33.85120 48.37101</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
@@ -4569,7 +4569,7 @@ <h2 id="referencias">13. Referencias<a class="anchor" aria-label="anchor" href="
 </div>
 </div></section><section id="aio-EnfermedadX2"><p>Content from <a href="EnfermedadX2.html">Taller Día 4 - Grupo 2 - Estimación de las distribuciones de rezagos epidemiológicos: Enfermedad X</a></p>
 <hr>
-<p>Última actualización: 2023-12-15 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/EnfermedadX2.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 98 minutos</p>
@@ -5139,10 +5139,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <span><span class="fu">plot</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre>
 </div>
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 <p><em>💡 <strong>Preguntas (2)</strong></em></p>
 <ul>
 <li>Describa los grupos (clusters).<br>
@@ -5366,10 +5366,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 4.970   0.013 0.937 3.319 4.310 4.906 5.557 6.985  4821    1
-par[2] 0.623   0.002 0.124 0.407 0.536 0.615 0.699 0.893  4879    1
+par[1] 4.977   0.012 0.945 3.324 4.307 4.914 5.579 7.016  6469    1
+par[2] 0.625   0.002 0.124 0.407 0.537 0.618 0.705 0.889  6660    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:44 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:18 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -5400,10 +5400,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75% 97.5% n_eff Rhat
-par[1] 1.971   0.001 0.075 1.823 1.919 1.971 2.022 2.117 10498    1
-par[2] 0.538   0.001 0.057 0.442 0.498 0.532 0.572 0.665  9577    1
+par[1] 1.971   0.001 0.075 1.826 1.918 1.972 2.022 2.116 11525    1
+par[2] 0.537   0.001 0.056 0.441 0.498 0.533 0.571 0.660 10101    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:50 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:25 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -5434,10 +5434,10 @@ <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"><
 post-warmup draws per chain=2000, total post-warmup draws=8000.
 
         mean se_mean    sd  2.5%   25%   50%   75%  97.5% n_eff Rhat
-par[1] 2.591   0.003 0.285 2.061 2.397 2.588 2.776  3.165  9217    1
-par[2] 9.069   0.005 0.526 8.080 8.707 9.056 9.419 10.128  9896    1
+par[1] 2.588   0.003 0.291 2.033 2.388 2.579 2.779  3.178  8117    1
+par[2] 9.069   0.006 0.532 8.072 8.708 9.057 9.410 10.162  7834    1
 
-Samples were drawn using NUTS(diag_e) at Fri Dec 15 22:04:35 2023.
+Samples were drawn using NUTS(diag_e) at Tue Feb 27 02:02:10 2024.
 For each parameter, n_eff is a crude measure of effective sample size,
 and Rhat is the potential scale reduction factor on split chains (at 
 convergence, Rhat=1).</code></pre>
@@ -5481,8 +5481,8 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>            weibull     gamma lognormal
-Estimate 264.736669 270.08176 279.55658
-SE         9.041485  12.10039  14.40529</code></pre>
+Estimate 264.828134 270.15640 279.47005
+SE         9.033561  12.16038  14.44951</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb36">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5505,7 +5505,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">264.7548</span> </span></code></pre>
+<span><span class="fl">264.8529</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb38">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5521,7 +5521,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">270.2118</span> </span></code></pre>
+<span><span class="fl">270.2641</span> </span></code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb40">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5537,7 +5537,7 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code><span><span class="va">Estimate</span> </span>
-<span><span class="fl">279.8647</span> </span></code></pre>
+<span> <span class="fl">279.775</span> </span></code></pre>
 </div>
 </div>
 <div class="section level4">
@@ -5589,9 +5589,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  7.166408 7.048797  7.139865
-50%   8.050316 7.980002  8.280042
-97.5% 9.010865 9.084551  9.858300</code></pre>
+2.5%  7.160701 7.026904  7.155187
+50%   8.051781 7.977683  8.277368
+97.5% 9.036671 9.058713  9.802142</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb44">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5605,9 +5605,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>       weibull    gamma lognormal
-2.5%  2.816089 2.913013  3.550505
-50%   3.332498 3.598067  4.736706
-97.5% 4.122998 4.566864  6.926761</code></pre>
+2.5%  2.810943 2.923958  3.561417
+50%   3.334650 3.593261  4.734118
+97.5% 4.142555 4.560286  6.805288</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb46">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5626,9 +5626,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.453564 2.036469 6.881268 12.41027 13.36497 14.43399
-50%   2.187483 2.872388 7.858976 13.84891 15.00529 16.35318
-97.5% 2.974759 3.721743 8.858746 15.94222 17.48591 19.38428</code></pre>
+2.5%  1.412929 1.993634 6.865273 12.38539 13.36489 14.45660
+50%   2.181387 2.866257 7.865025 13.84515 15.00864 16.35457
+97.5% 2.985910 3.738627 8.859006 16.04839 17.64251 19.50630</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb48">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5643,9 +5643,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.773134 2.287999 6.523371 12.72761 14.12862 15.83884
-50%   2.561557 3.114111 7.440398 14.68459 16.45753 18.65891
-97.5% 3.301291 3.870150 8.445851 17.39811 19.75913 22.72165</code></pre>
+2.5%  1.793958 2.301751 6.491852 12.71547 14.13727 15.86663
+50%   2.557483 3.110297 7.437657 14.65258 16.39417 18.60247
+97.5% 3.303374 3.871443 8.439026 17.37844 19.67257 22.60961</code></pre>
 </div>
 <div class="codewrapper sourceCode" id="cb50">
 <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
@@ -5660,9 +5660,9 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <h3 class="code-label">SALIDA<i aria-hidden="true" data-feather="chevron-left"></i><i aria-hidden="true" data-feather="chevron-right"></i>
 </h3>
 <pre class="output" tabindex="0"><code>         0.025     0.05      0.5     0.95    0.975     0.99
-2.5%  1.873328 2.286128 6.189757 14.09790 16.28170 19.27680
-50%   2.529552 2.988317 7.180109 17.23603 20.36840 24.77764
-97.5% 3.148927 3.643249 8.305818 22.69852 27.76931 35.17777</code></pre>
+2.5%  1.872793 2.283365 6.206790 14.13183 16.33206 19.29064
+50%   2.531963 2.993510 7.186094 17.23017 20.38082 24.76960
+97.5% 3.160818 3.655460 8.293785 22.31122 27.22447 34.50549</code></pre>
 </div>
 <p>Para cada modelo, encuentre estos elementos para el período de
 incubación estimado en la salida de arriba y escribalos abajo.</p>
@@ -6725,7 +6725,7 @@ <h2 id="referencias">13. Referencias<a class="anchor" aria-label="anchor" href="
 </div>
 </div></section><section id="aio-Sivirep-tutorial"><p>Content from <a href="Sivirep-tutorial.html">Taller sivirep</a></p>
 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Sivirep-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 55 minutos</p>
@@ -7151,7 +7151,7 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
 </div>
 </section></section><section id="aio-Serofoi-tutorial"><p>Content from <a href="Serofoi-tutorial.html">Tutorial Serofoi</a></p>
 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Serofoi-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 55 minutos</p>
@@ -7654,7 +7654,7 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
  -->
 </section></section><section id="aio-Vaccineff-tutorial"><p>Content from <a href="Vaccineff-tutorial.html">Tutorial Vaccineff: Introducción al cálculo de efectividad vacunal con cohortes usando vaccineff</a></p>
 <hr>
-<p>Última actualización: 2023-12-16 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/Vaccineff-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 55 minutos</p>
@@ -8401,7 +8401,7 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
 </div>
 </section></section><section id="aio-epiCo-tutorial"><p>Content from <a href="epiCo-tutorial.html">Tutorial epiCo</a></p>
 <hr>
-<p>Última actualización: 2023-12-11 |
+<p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/epiCo-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
 <p>Tiempo estimado: <i aria-hidden="true" data-feather="clock"></i> 55 minutos</p>
@@ -9114,10 +9114,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <code class="sourceCode R"><span><span class="va">monrans_tolima</span><span class="op">$</span><span class="va">leaflet_map</span></span></code></pre>
 </div>
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 </div>
 <div class="section level3">
 <h3 id="interpretación-de-los-resultados-del-mapa">2. Interpretación de los resultados del mapa<a class="anchor" aria-label="anchor" href="#interpretaci%C3%B3n-de-los-resultados-del-mapa"></a>
@@ -9258,8 +9258,8 @@ <h4 id="contribuciones">Contribuciones<a class="anchor" aria-label="anchor" href
   "url": "https://epiverse-trace.github.io/epimodelac/instructor/aio.html",
   "identifier": "https://epiverse-trace.github.io/epimodelac/instructor/aio.html",
   "dateCreated": "2023-11-10",
-  "dateModified": "2024-02-20",
-  "datePublished": "2024-02-20"
+  "dateModified": "2024-02-27",
+  "datePublished": "2024-02-27"
 }
 
   </script><script>
diff --git a/instructor/epiCo-tutorial.html b/instructor/epiCo-tutorial.html
index e1ff9d1..eb24698 100644
--- a/instructor/epiCo-tutorial.html
+++ b/instructor/epiCo-tutorial.html
@@ -284,7 +284,7 @@ <h2 class="accordion-header" id="flush-headingTwelve">
       </div>
       <hr></nav><main id="main-content" class="main-content"><div class="container lesson-content">
         <h1>Tutorial epiCo</h1>
-        <p>Última actualización: 2023-12-11 |
+        <p>Última actualización: 2024-02-27 |
         
         <a href="https://github.com/epiverse-trace/epimodelac/edit/main/episodes/epiCo-tutorial.Rmd" class="external-link">Mejora esta página <i aria-hidden="true" data-feather="edit"></i></a></p>
         
@@ -963,10 +963,10 @@ <h3 class="code-label">R<i aria-hidden="true" data-feather="chevron-left"></i><i
 <code class="sourceCode R"><span><span class="va">monrans_tolima</span><span class="op">$</span><span class="va">leaflet_map</span></span></code></pre>
 </div>
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