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chapters/additional-resources.html

@@ -272,18 +272,19 @@ <h1 class="title"><span class="chapter-number">15</span>&nbsp; <span class="chap
 <section id="further-reading" class="level2" data-number="15.1">
 <h2 data-number="15.1" class="anchored" data-anchor-id="further-reading"><span class="header-section-number">15.1</span> Further Reading</h2>
 <ul>
-<li><p><a href="https://cran.r-project.org/web/packages/lme4/vignettes/lmer.pdf">lme4 vignette for fitting linear mixed models</a></p></li>
-<li><p><a href="https://link.springer.com/book/10.1007/b98882"><em>Mixed-Effects Models in S and S-PLUS</em></a> <em>thee book</em> for <strong>nlme</strong>, by José C. Pinheiro and Douglas M. Bates. We used this book extensively for developing this guide. Sadly, it’s both out of print and we could not find a free copy online. However, there are affordable used copies available.</p></li>
-<li><p><a href="https://link.springer.com/book/10.1007/978-0-387-87458-6"><em>Mixed Effects Models and Extensions in Ecology with R</em></a> by Alain F. Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, and Graham M. Smith.</p></li>
+<li><p><a href="https://cran.r-project.org/web/packages/lme4/vignettes/lmer.pdf" class="external" target="_blank">lme4 vignette for fitting linear mixed models</a></p></li>
+<li><p><a href="https://link.springer.com/book/10.1007/b98882" class="external" target="_blank"><em>Mixed-Effects Models in S and S-PLUS</em></a> <em>thee book</em> for <strong>nlme</strong>, by José C. Pinheiro and Douglas M. Bates. We used this book extensively for developing this guide. Sadly, it’s both out of print and we could not find a free copy online. However, there are affordable used copies available.</p></li>
+<li><p><a href="https://link.springer.com/book/10.1007/978-0-387-87458-6" class="external" target="_blank"><em>Mixed Effects Models and Extensions in Ecology with R</em></a> by Alain F. Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, and Graham M. Smith.</p></li>
+<li><p><a href="https://www.taylorfrancis.com/books/mono/10.1201/9781003146216/anova-mixed-models-lukas-meier" class="external" target="_blank"><em>ANOVA and Mixed Models</em></a> by Lukas Meier</p></li>
 </ul>
 </section>
 <section id="other-resources" class="level2" data-number="15.2">
 <h2 data-number="15.2" class="anchored" data-anchor-id="other-resources"><span class="header-section-number">15.2</span> Other Resources</h2>
 <ul>
-<li><p><a href="https://easystats.github.io/easystats/">Easy Stats</a> a collection of R packages to assist in statistical modelling, with a big focus on linear models.</p></li>
-<li><p><a href="https://mirror.oit.ncsu.edu/cran/web/views/MixedModels.html">Mixed Model CRAN Task View</a> a curated list of R packages relevant to mixed modelling. This is a great place to start</p></li>
-<li><p><a href="https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models">R-SIG-mixed-models</a> mailing list for help and discussion of mixed-model-related questions, course announcements, etc</p></li>
-<li><p><a href="https://emitanaka.org/edibble-book/">Grammar of Experimental Designs</a> by Emi Tanaka. This has a great description of basic principles of experimental design.</p></li>
+<li><p><a href="https://easystats.github.io/easystats/" class="external" target="_blank">Easy Stats</a> a collection of R packages to assist in statistical modelling, with a big focus on linear models.</p></li>
+<li><p><a href="https://mirror.oit.ncsu.edu/cran/web/views/MixedModels.html" class="external" target="_blank">Mixed Model CRAN Task View</a> a curated list of R packages relevant to mixed modelling. This is a great place to start</p></li>
+<li><p><a href="https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models" class="external" target="_blank">R-SIG-mixed-models</a> mailing list for help and discussion of mixed-model-related questions, course announcements, etc</p></li>
+<li><p><a href="https://emitanaka.org/edibble-book/" class="external" target="_blank">Grammar of Experimental Designs</a> by Emi Tanaka. This has a great description of basic principles of experimental design.</p></li>
 </ul>
 
 

references.html

@@ -294,6 +294,11 @@ <h1 class="title">References</h1>
 Hartig, Florian. 2022. <em>DHARMa: Residual Diagnostics for Hierarchical
 (Multi-Level / Mixed) Regression Models</em>. <a href="https://CRAN.R-project.org/package=DHARMa">https://CRAN.R-project.org/package=DHARMa</a>.
 </div>
+<div id="ref-john_cyclic" class="csl-entry" role="listitem">
+John, JA, and ER Williams. 1995. <em>Cyclic and <span>Computer</span>
+<span>Generated</span> <span>Designs</span></em>. 2nd ed. New York:
+Chapman; Hall/CRC Press. <a href="https://doi.org/10.1201/b15075">https://doi.org/10.1201/b15075</a>.
+</div>
 <div id="ref-lmertest" class="csl-entry" role="listitem">
 Kuznetsova, Alexandra, Per B. Brockhoff, and Rune H. B. Christensen.
 2017. <span>“<span class="nocase">lmerTest</span> Package: Tests in
@@ -318,6 +323,11 @@ <h1 class="title">References</h1>
 Pinheiro, José, Douglas Bates, and R Core Team. 2023. <em>Nlme: Linear
 and Nonlinear Mixed Effects Models</em>. <a href="https://CRAN.R-project.org/package=nlme">https://CRAN.R-project.org/package=nlme</a>.
 </div>
+<div id="ref-yates_1936" class="csl-entry" role="listitem">
+Yates, F. 1936. <span>“A New Method of Arranging Variety Trials
+Involving a Large Number of Varieties.”</span> <em>J Agric Sci</em> 26:
+424–55.
+</div>
 </div>