diff --git a/NEWS.html b/NEWS.html index e0c229ba..b4bf456d 100644 --- a/NEWS.html +++ b/NEWS.html @@ -410,6 +410,7 @@

News

Development

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Logical subsets

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Empty crosstab cells<
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Empty crosstab cells<
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Percent()

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Percent()

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Add rows

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Add columns

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Add columns

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Add columns

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7.13 217.19 6.48 0.210.37
body_mass_g 384.34 5076.02 504.120.980.53
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Rounding

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Rounding

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Rounding

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Rounding

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a333,152333,034
b333,740333,911
c333,108333,055
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Titles and notes

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Alignment

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Statistics about the famous Palmer Penguins.
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Factors

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Factors

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diff --git a/vignettes/get_started.html b/vignettes/get_started.html index 88183da9..bbc8c4eb 100644 --- a/vignettes/get_started.html +++ b/vignettes/get_started.html @@ -441,12 +441,12 @@

Data Summaries

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Data Summaries

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Data Summaries

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Data Summaries

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Data Summaries

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Data Summaries

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Data Summaries

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Data Summaries

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1246.0 5020.0 37015.0
Literacy 12.0 38.0 74.0
Commerce 1.0 42.5 86.0
Crime_pers 2199.0 18748.5 37014.0
Crime_prop 1368.0 7595.0 20235.0
Clergy 1.0 43.5 86.0
Small
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Data Summaries

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Data Summaries

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Model Summaries

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Model Summaries

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diff --git a/vignettes/modelplot.html b/vignettes/modelplot.html index 25f65704..9e896a7a 100644 --- a/vignettes/modelplot.html +++ b/vignettes/modelplot.html @@ -526,12 +526,12 @@

Several models

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+
diff --git a/vignettes/modelsummary.html b/vignettes/modelsummary.html index 0666d171..f7a2a119 100644 --- a/vignettes/modelsummary.html +++ b/vignettes/modelsummary.html @@ -509,12 +509,12 @@

Model Summaries

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fmt

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estimate

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estimate

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estimate

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statistic

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statistic

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statistic

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statistic

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stars

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coef_omit

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coef_omit

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coef_omit

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coef_omit

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coef_omit

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coef_omit

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coef_rename

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coef_rename

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coef_rename

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coef_rename

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coef_map

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gof_map

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gof_map

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gof_function

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gof_function

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Formula

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Formula

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Formula

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Formula

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Formula

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Formula

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Renaming
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fixest

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fixest

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add_rows

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exponentiate

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exponentiate

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Reference categories<
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Math

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Quarto

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Quarto

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Quarto

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-

Another math expression: $\sum_{i=1}^n x^-i$
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Subgroup
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Bootstrap

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Bootstrap

- - + + - - + + - - + + - - + + - + - + @@ -9219,12 +9219,12 @@

-

(Intercept)325.951 287.229 327.540 282.512
(29.682)(42.535)(30.471)(43.248)
mpg -8.979 -10.002 -9.046 -10.075
(1.348) (2.384) (1.408) (2.352)
drat 16.576 18.144
(20.544)(21.005)
Num.Obs.
+
@@ -9320,27 +9320,27 @@

Multiple imputation
-

+
@@ -9567,45 +9567,45 @@

Multiple imputation

- - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - + + @@ -9615,37 +9615,37 @@

Multiple imputation

- - - + + + - - - + + + - + - + - + - + @@ -9740,13 +9740,13 @@

How can I x <- broom::tidy(mod) toc()
-
tidy: 0.003 sec elapsed
+
tidy: 0.002 sec elapsed
tic("glance")
 x <- broom::glance(mod)
 toc()
-
glance: 0.003 sec elapsed
+
glance: 0.004 sec elapsed
tic("parameters")
 x <- parameters::parameters(mod)
@@ -9769,12 +9769,12 @@ 

How can I
-

(Intercept)89.767 92.551 91.865 77.974 77.857 80.682
(14.901)(13.638)(15.252)(14.040)(15.510)(11.807)
Literacy -0.633 -0.648 -0.670 -0.447 -0.493 -0.522
(0.229) (0.215) (0.251) (0.222) (0.249) (0.189)
Commerce -0.465 -0.524 -0.521 -0.378 -0.363 -0.394
(0.168) (0.136) (0.156) (0.163) (0.158) (0.134)
Num.Obs. 58 86 61 86 85
Num.Imp.
R2 0.146 0.189 0.178 0.097 0.098 0.122
R2 Adj. 0.115 0.170 0.158 0.066 0.074 0.100
AIC 536.8 571.5
BIC 545.1 579.9
Log.Lik. -264.422-281.738
RMSE 23.11 24.53
+
@@ -9960,9 +9960,9 @@

Bayesian models

get_estimates(mod)
         term      estimate         mad conf.level     conf.low    conf.high prior.distribution prior.location prior.scale group std.error statistic p.value
-1 (Intercept) -2.2120118509 0.604120394       0.95 -3.441993573 -0.939045750             normal        0.40625  1.24747729              NA        NA      NA
-2          hp  0.0006728326 0.001113702       0.95 -0.001664825  0.002824257             normal        0.00000  0.01819465              NA        NA      NA
-3        drat  0.7000544165 0.142063291       0.95  0.402271239  0.986980334             normal        0.00000  2.33313429              NA        NA      NA
+1 (Intercept) -2.2136927177 0.571213351 0.95 -3.348469984 -1.043576095 normal 0.40625 1.24747729 NA NA NA +2 hp 0.0006582996 0.001025414 0.95 -0.001467951 0.002783858 normal 0.00000 0.01819465 NA NA NA +3 drat 0.7028675788 0.139272808 0.95 0.424442197 0.968567381 normal 0.00000 2.33313429 NA NA NA

This shows that there is no std.error column, but that there is a mad statistic (mean absolute deviation). So we can do:

@@ -9983,12 +9983,12 @@

Bayesian models

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+
@@ -10080,11 +10080,11 @@

Bayesian models

- + - + @@ -10096,11 +10096,11 @@

Bayesian models

- + - + @@ -10108,27 +10108,27 @@

Bayesian models

- + - + - + - + - + - + @@ -10136,7 +10136,7 @@

Bayesian models

- + @@ -10153,21 +10153,21 @@

Bayesian models

get_estimates(mod, centrality = "mean")
         term      estimate     std.dev conf.level     conf.low    conf.high prior.distribution prior.location prior.scale group std.error statistic p.value
-1 (Intercept) -2.2024688812 0.632078279       0.95 -3.441993573 -0.939045750             normal        0.40625  1.24747729              NA        NA      NA
-2          hp  0.0006342765 0.001148073       0.95 -0.001664825  0.002824257             normal        0.00000  0.01819465              NA        NA      NA
-3        drat  0.6991966324 0.146927309       0.95  0.402271239  0.986980334             normal        0.00000  2.33313429              NA        NA      NA
+1 (Intercept) -2.2040529913 0.588169690 0.95 -3.348469984 -1.043576095 normal 0.40625 1.24747729 NA NA NA +2 hp 0.0006642347 0.001070159 0.95 -0.001467951 0.002783858 normal 0.00000 0.01819465 NA NA NA +3 drat 0.6986792248 0.139201618 0.95 0.424442197 0.968567381 normal 0.00000 2.33313429 NA NA NA
modelsummary(mod, statistic = "std.dev", centrality = "mean")
-
(Intercept)-2.212 -2.214
(0.604)(0.571)
hp
drat 0.700 0.703
(0.142)(0.139)
Num.Obs.
R2 0.499 0.497
R2 Adj. 0.415 0.434
Log.Lik. -12.065-12.042
ELPD -15.3 -15.1
ELPD s.e. 3.2 3.1
LOOIC 30.7 30.1
LOOIC s.e.
WAIC 30.4 29.9
RMSE
+
@@ -10259,11 +10259,11 @@

Bayesian models

- + - + @@ -10279,7 +10279,7 @@

Bayesian models

- + @@ -10287,27 +10287,27 @@

Bayesian models

- + - + - + - + - + - + @@ -10315,7 +10315,7 @@

Bayesian models

- + @@ -10332,9 +10332,9 @@

Bayesian models

get_estimates(mod, test = c("pd", "rope"))
         term      estimate         mad conf.level     conf.low    conf.high      pd rope.percentage prior.distribution prior.location prior.scale group std.error statistic p.value
-1 (Intercept) -2.2120118509 0.604120394       0.95 -3.441993573 -0.939045750 0.99925               0             normal        0.40625  1.24747729              NA        NA      NA
-2          hp  0.0006728326 0.001113702       0.95 -0.001664825  0.002824257 0.72225               1             normal        0.00000  0.01819465              NA        NA      NA
-3        drat  0.7000544165 0.142063291       0.95  0.402271239  0.986980334 1.00000               0             normal        0.00000  2.33313429              NA        NA      NA
+1 (Intercept) -2.2136927177 0.571213351 0.95 -3.348469984 -1.043576095 0.99950 0 normal 0.40625 1.24747729 NA NA NA +2 hp 0.0006582996 0.001025414 0.95 -0.001467951 0.002783858 0.74325 1 normal 0.00000 0.01819465 NA NA NA +3 drat 0.7028675788 0.139272808 0.95 0.424442197 0.968567381 1.00000 0 normal 0.00000 2.33313429 NA NA NA
@@ -10363,12 +10363,12 @@

Factor labels

-
(Intercept)-2.202 -2.204
(0.632)(0.588)
hp
(0.147)(0.139)
Num.Obs.
R2 0.499 0.497
R2 Adj. 0.415 0.434
Log.Lik. -12.065-12.042
ELPD -15.3 -15.1
ELPD s.e. 3.2 3.1
LOOIC 30.7 30.1
LOOIC s.e.
WAIC 30.4 29.9
RMSE
+
@@ -10502,12 +10502,12 @@

Factor labels

-
+
@@ -10640,12 +10640,12 @@

Footnotes in col
-

+
diff --git a/vignettes/modelsummary_extension.html b/vignettes/modelsummary_extension.html index 4db2cb1d..3aa518fb 100644 --- a/vignettes/modelsummary_extension.html +++ b/vignettes/modelsummary_extension.html @@ -452,12 +452,12 @@

Unsupported models: modelsummary_list

-
+
@@ -651,12 +651,12 @@

Modifying information: tidy_custom and glance_custom
-

+
@@ -838,12 +838,12 @@

New information: tidy_custom and glance_custom

-
+
@@ -1079,12 +1079,12 @@

Customization: New model class

-
+
@@ -1239,12 +1239,12 @@

Customization: modelsummary_list

-
+
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