From 7908d258518426256a4d17c5dc941b3a6f6365ca Mon Sep 17 00:00:00 2001
From: LukasGraz <lukas.graz@stat.math.ethz.ch>
Date: Thu, 5 Dec 2024 18:29:45 +0100
Subject: [PATCH] Built site for gh-pages

---
 .nojekyll                            | 2 +-
 index.html                           | 2 +-
 posts/lmm-heteroskedastic/index.html | 4 +++-
 sitemap.xml                          | 2 +-
 4 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/.nojekyll b/.nojekyll
index 0eec00c..3d241d9 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-64182310
\ No newline at end of file
+3c1e9171
\ No newline at end of file
diff --git a/index.html b/index.html
index bb5a7ee..db0cb43 100644
--- a/index.html
+++ b/index.html
@@ -225,7 +225,7 @@ <h2 data-anchor-id="some-statistical-investigations">Some Statistical Investigat
 </tr>
 </thead>
 <tbody class="list">
-<tr data-index="0" data-listing-date-sort="1733266800000" data-listing-file-modified-sort="1733419692911" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="5" data-listing-word-count-sort="837" data-listing-title-sort="Heteroscedastic Linear Mixed Models with
+<tr data-index="0" data-listing-date-sort="1733266800000" data-listing-file-modified-sort="1733419754799" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="5" data-listing-word-count-sort="847" data-listing-title-sort="Heteroscedastic Linear Mixed Models with
 `glmmTMB(dispformula=)` and nlme::lme(weights=varIdent(form=))" data-listing-filename-sort="index.qmd">
 <td>
 <span class="listing-date">Dec 4, 2024</span>
diff --git a/posts/lmm-heteroskedastic/index.html b/posts/lmm-heteroskedastic/index.html
index 61b0d2c..cf313b5 100644
--- a/posts/lmm-heteroskedastic/index.html
+++ b/posts/lmm-heteroskedastic/index.html
@@ -231,7 +231,9 @@ <h2 id="toc-title">On this page</h2>
 </ul>
 <p><strong>Example</strong>:</p>
 <pre><code>glmmTMB(y ~ trt + (1|id), data = D, dispformula = ~trt)
-nlme::lme(y ~ trt, random = ~1|id, weights = varIdent(form = ~1|trt))</code></pre>
+
+nlme::lme(y ~ trt, random = ~1|id, 
+          weights = varIdent(form = ~1|trt))</code></pre>
 <p><strong>Note</strong>: Before modelling heteroscedastic LMM try:</p>
 <ul>
 <li>fixing heteroscedasticity by transforming the response variable (log, sqrt, etc.)</li>
diff --git a/sitemap.xml b/sitemap.xml
index 15cd370..cd09218 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -54,7 +54,7 @@
   </url>
   <url>
     <loc>https://lgraz.com/posts/lmm-heteroskedastic/index.html</loc>
-    <lastmod>2024-12-05T17:28:12.911Z</lastmod>
+    <lastmod>2024-12-05T17:29:14.799Z</lastmod>
   </url>
   <url>
     <loc>https://lgraz.com/posts/lmm-slope-aggregate/index.html</loc>