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@@ -1 +1 @@
-be81ebfa
+ec9aa21f

bayesian.html

@@ -1961,12 +1961,12 @@
 [1] stats     graphics  grDevices utils     datasets  methods   base     
 
 other attached packages:
- [1] psych_2.5.6       lubridate_1.9.4   forcats_1.0.1     stringr_1.6.0    
- [5] dplyr_1.1.4       purrr_1.2.1       readr_2.1.6       tidyr_1.3.2      
- [9] tibble_3.3.1      ggplot2_4.0.1     tidyverse_2.0.0   petersenlab_1.2.2
+ [1] psych_2.6.1       lubridate_1.9.5   forcats_1.0.1     stringr_1.6.0    
+ [5] dplyr_1.2.0       purrr_1.2.1       readr_2.1.6       tidyr_1.3.2      
+ [9] tibble_3.3.1      ggplot2_4.0.2     tidyverse_2.0.0   petersenlab_1.2.2
 
 loaded via a namespace (and not attached):
- [1] tidyselect_1.2.1    viridisLite_0.4.2   farver_2.1.2       
+ [1] tidyselect_1.2.1    viridisLite_0.4.3   farver_2.1.2       
  [4] S7_0.2.1            fastmap_1.2.0       digest_0.6.39      
  [7] rpart_4.1.24        timechange_0.4.0    lifecycle_1.0.5    
 [10] cluster_2.1.8.1     magrittr_2.0.4      compiler_4.5.2     
@@ -1990,7 +1990,7 @@
 [64] Rdpack_2.6.5        mix_1.0-13          evaluate_1.0.5     
 [67] pbivnorm_0.6.0      lattice_0.22-7      rbibutils_2.4.1    
 [70] backports_1.5.0     Rcpp_1.1.1          gridExtra_2.3      
-[73] nlme_3.1-168        checkmate_2.3.3     xfun_0.56          
+[73] nlme_3.1-168        checkmate_2.3.4     xfun_0.56          
 [76] pkgconfig_2.0.3    </code></pre>
 </div>
 </div>

dataManagement.html

@@ -693,7 +693,7 @@
 <span class="header-section-number">2.2</span> Load Libraries</h2>
 <div class="cell">
 <details open="" class="code-fold"><summary>Code</summary><div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb2"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/DevPsyLab/petersenlab">"petersenlab"</a></span><span class="op">)</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="st"><a href="https://r-forge.r-project.org/projects/car/">"car"</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/bprice2652/car_repo">"car"</a></span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/TomKellyGenetics/vioplot">"vioplot"</a></span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="st"><a href="https://github.com/dmurdoch/ellipse">"ellipse"</a></span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="st"><a href="https://svn.r-project.org/R-packages/trunk/nlme/">"nlme"</a></span><span class="op">)</span></span>
@@ -1605,11 +1605,11 @@
 
 other attached packages:
  [1] XICOR_0.4.1        ggExtra_0.11.0     mvnormtest_0.1-9-3 naniar_1.1.0      
- [5] lubridate_1.9.4    forcats_1.0.1      stringr_1.6.0      dplyr_1.1.4       
+ [5] lubridate_1.9.5    forcats_1.0.1      stringr_1.6.0      dplyr_1.2.0       
  [9] purrr_1.2.1        readr_2.1.6        tidyr_1.3.2        tibble_3.3.1      
-[13] tidyverse_2.0.0    psych_2.5.6        ggplot2_4.0.1      corrplot_0.95     
+[13] tidyverse_2.0.0    psych_2.6.1        ggplot2_4.0.2      corrplot_0.95     
 [17] effects_4.2-4      nlme_3.1-168       ellipse_0.5.0      vioplot_0.5.1     
-[21] zoo_1.8-15         sm_2.2-6.0         car_3.1-3          carData_3.0-6     
+[21] zoo_1.8-15         sm_2.2-6.0         car_3.1-5          carData_3.0-6     
 [25] petersenlab_1.2.2 
 
 loaded via a namespace (and not attached):
@@ -1633,15 +1633,15 @@
 [52] withr_3.0.2         S7_0.2.1            evaluate_1.0.5     
 [55] foreign_0.8-90      survival_3.8-3      isoband_0.3.0      
 [58] survey_4.4-8        norm_1.0-11.1       pillar_1.11.1      
-[61] KernSmooth_2.23-26  rtf_0.4-14.1        checkmate_2.3.3    
-[64] stats4_4.5.2        reformulas_0.4.4    insight_1.4.5      
+[61] KernSmooth_2.23-26  rtf_0.4-14.1        checkmate_2.3.4    
+[64] stats4_4.5.2        reformulas_0.4.4    insight_1.4.6      
 [67] generics_0.1.4      mix_1.0-13          hms_1.1.4          
 [70] scales_1.4.0        minqa_1.2.8         xtable_1.8-4       
 [73] glue_1.8.0          Hmisc_5.2-5         tools_4.5.2        
 [76] data.table_1.18.2.1 lme4_1.1-38         mvtnorm_1.3-3      
 [79] grid_4.5.2          mitools_2.4         rbibutils_2.4.1    
 [82] colorspace_2.1-2    htmlTable_2.4.3     Formula_1.2-5      
-[85] cli_3.6.5           viridisLite_0.4.2   gtable_0.3.6       
+[85] cli_3.6.5           viridisLite_0.4.3   gtable_0.3.6       
 [88] R.methodsS3_1.8.2   digest_0.6.39       htmlwidgets_1.6.4  
 [91] farver_2.1.2        R.oo_1.27.1         htmltools_0.5.9    
 [94] lifecycle_1.0.5     mime_0.13           MASS_7.3-65        </code></pre>

eda.html

@@ -1817,12 +1817,12 @@
 [8] base     
 
 other attached packages:
- [1] ggpubr_0.6.2       ggthemes_5.2.0     viridis_0.6.5      viridisLite_0.4.2 
+ [1] ggpubr_0.6.2       ggthemes_5.2.0     viridis_0.6.5      viridisLite_0.4.3 
  [5] ggExtra_0.11.0     reshape2_1.4.5     RColorBrewer_1.1-3 plyr_1.8.9        
- [9] reshape_0.8.10     ggplot2_4.0.1      ellipse_0.5.0      petersenlab_1.2.2 
+ [9] reshape_0.8.10     ggplot2_4.0.2      ellipse_0.5.0      petersenlab_1.2.2 
 
 loaded via a namespace (and not attached):
- [1] tidyselect_1.2.1    psych_2.5.6         dplyr_1.1.4        
+ [1] tidyselect_1.2.1    psych_2.6.1         dplyr_1.2.0        
  [4] farver_2.1.2        S7_0.2.1            fastmap_1.2.0      
  [7] promises_1.5.0      digest_0.6.39       rpart_4.1.24       
 [10] mime_0.13           lifecycle_1.0.5     cluster_2.1.8.1    
@@ -1840,7 +1840,7 @@
 [46] stringr_1.6.0       splines_4.5.2       parallel_4.5.2     
 [49] base64enc_0.1-6     mitools_2.4         vctrs_0.7.1        
 [52] boot_1.3-32         Matrix_1.7-4        carData_3.0-6      
-[55] jsonlite_2.0.0      car_3.1-3           rstatix_0.7.3      
+[55] jsonlite_2.0.0      car_3.1-5           rstatix_0.7.3      
 [58] Formula_1.2-5       htmlTable_2.4.3     tidyr_1.3.2        
 [61] glue_1.8.0          nloptr_2.2.1        stringi_1.8.7      
 [64] gtable_0.3.6        later_1.4.5         quadprog_1.5-8     
@@ -1850,7 +1850,7 @@
 [76] pbivnorm_0.6.0      lattice_0.22-7      rbibutils_2.4.1    
 [79] backports_1.5.0     broom_1.0.12        httpuv_1.6.16      
 [82] Rcpp_1.1.1          gridExtra_2.3       nlme_3.1-168       
-[85] checkmate_2.3.3     mgcv_1.9-3          xfun_0.56          
+[85] checkmate_2.3.4     mgcv_1.9-3          xfun_0.56          
 [88] pkgconfig_2.0.3    </code></pre>
 </div>
 </div>

figures.html

@@ -2080,7 +2080,7 @@
 </div>
 </section></section><section id="cross-lagged-models" class="level1" data-number="9"><h1 data-number="9">
 <span class="header-section-number">9</span> Cross-Lagged Models</h1>
-<p>Multilevel cross-lagged models can be estimated using <a href="#mplus.qmd#sec-msem-lcm-sr">multilevel structural equation modeling</a>.</p>
+<p>Multilevel cross-lagged models can be estimated using <a href="./mplus.html#sec-msem-lcm-sr">multilevel structural equation modeling</a>.</p>
 </section><section id="robust-mixed-models" class="level1" data-number="10"><h1 data-number="10">
 <span class="header-section-number">10</span> Robust Mixed Models</h1>
 <p>To evaluate the extent to which a finding could driven by outliers, this could be done in a number of different ways, such as:</p>
@@ -2404,14 +2404,14 @@
 [1] stats     graphics  grDevices utils     datasets  methods   base     
 
 other attached packages:
- [1] ggplot2_4.0.1      performance_0.15.3 parallelly_1.46.1  mgcv_1.9-3        
+ [1] ggplot2_4.0.2      performance_0.15.3 parallelly_1.46.1  mgcv_1.9-3        
  [5] MCMCglmm_2.36      ape_5.8-1          coda_0.19-4.1      MASS_7.3-65       
  [9] lmerTest_3.2-0     nlme_3.1-168       lme4_1.1-38        Matrix_1.7-4      
 [13] petersenlab_1.2.2 
 
 loaded via a namespace (and not attached):
- [1] tidyselect_1.2.1    psych_2.5.6         viridisLite_0.4.2  
- [4] dplyr_1.1.4         farver_2.1.2        S7_0.2.1           
+ [1] tidyselect_1.2.1    psych_2.6.1         viridisLite_0.4.3  
+ [4] dplyr_1.2.0         farver_2.1.2        S7_0.2.1           
  [7] fastmap_1.2.0       tensorA_0.36.2.1    bayestestR_0.17.0  
 [10] digest_0.6.39       rpart_4.1.24        lifecycle_1.0.5    
 [13] cluster_2.1.8.1     magrittr_2.0.4      compiler_4.5.2     
@@ -2422,7 +2422,7 @@
 [28] foreign_0.8-90      purrr_1.2.1         numDeriv_2016.8-1.1
 [31] datawizard_1.3.0    nnet_7.3-20         grid_4.5.2         
 [34] stats4_4.5.2        lavaan_0.6-21       xtable_1.8-4       
-[37] colorspace_2.1-2    scales_1.4.0        insight_1.4.5      
+[37] colorspace_2.1-2    scales_1.4.0        insight_1.4.6      
 [40] cli_3.6.5           mvtnorm_1.3-3       rmarkdown_2.30     
 [43] reformulas_0.4.4    generics_0.1.4      otel_0.2.0         
 [46] rstudioapi_0.18.0   reshape2_1.4.5      parameters_0.28.3  
@@ -2437,7 +2437,7 @@
 [73] mix_1.0-13          evaluate_1.0.5      pbivnorm_0.6.0     
 [76] lattice_0.22-7      rbibutils_2.4.1     backports_1.5.0    
 [79] corpcor_1.6.10      Rcpp_1.1.1          gridExtra_2.3      
-[82] checkmate_2.3.3     xfun_0.56           pkgconfig_2.0.3    </code></pre>
+[82] checkmate_2.3.4     xfun_0.56           pkgconfig_2.0.3    </code></pre>
 </div>
 </div>
 
@@ -3726,7 +3726,7 @@
 <span id="cb98-893"><a href="#cb98-893" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb98-894"><a href="#cb98-894" aria-hidden="true" tabindex="-1"></a><span class="fu"># Cross-Lagged Models</span></span>
 <span id="cb98-895"><a href="#cb98-895" aria-hidden="true" tabindex="-1"></a></span>
-<span id="cb98-896"><a href="#cb98-896" aria-hidden="true" tabindex="-1"></a>Multilevel cross-lagged models can be estimated using <span class="co">[</span><span class="ot">multilevel structural equation modeling</span><span class="co">](#mplus.qmd#sec-msem-lcm-sr)</span>.</span>
+<span id="cb98-896"><a href="#cb98-896" aria-hidden="true" tabindex="-1"></a>Multilevel cross-lagged models can be estimated using <span class="co">[</span><span class="ot">multilevel structural equation modeling</span><span class="co">](mplus.qmd#sec-msem-lcm-sr)</span>.</span>
 <span id="cb98-897"><a href="#cb98-897" aria-hidden="true" tabindex="-1"></a></span>
 <span id="cb98-898"><a href="#cb98-898" aria-hidden="true" tabindex="-1"></a><span class="fu"># Robust Mixed Models</span></span>
 <span id="cb98-899"><a href="#cb98-899" aria-hidden="true" tabindex="-1"></a></span>

hlm.html

@@ -1419,10 +1419,10 @@
  [7] future_1.69.0       parallelly_1.46.1   jomo_2.7-6         
 [10] Amelia_1.8.3        Rcpp_1.1.1          mitml_0.4-5        
 [13] miceadds_3.18-36    micemd_1.10.1       mice_3.19.0        
-[16] psych_2.5.6         lubridate_1.9.4     forcats_1.0.1      
-[19] stringr_1.6.0       dplyr_1.1.4         purrr_1.2.1        
+[16] psych_2.6.1         lubridate_1.9.5     forcats_1.0.1      
+[19] stringr_1.6.0       dplyr_1.2.0         purrr_1.2.1        
 [22] readr_2.1.6         tidyr_1.3.2         tibble_3.3.1       
-[25] ggplot2_4.0.1       tidyverse_2.0.0    
+[25] ggplot2_4.0.2       tidyverse_2.0.0    
 
 loaded via a namespace (and not attached):
   [1] RColorBrewer_1.1-3  jsonlite_2.0.0      GJRM_0.2-6.8       
@@ -1443,7 +1443,7 @@
  [46] distr_2.9.7         VineCopula_2.6.1    tools_4.5.2        
  [49] pbivnorm_0.6.0      foreign_0.8-90      trust_0.1-8        
  [52] otel_0.2.0          nnet_7.3-20         glue_1.8.0         
- [55] stabledist_0.7-2    grid_4.5.2          checkmate_2.3.3    
+ [55] stabledist_0.7-2    grid_4.5.2          checkmate_2.3.4    
  [58] generics_0.1.4      gtable_0.3.6        tzdb_0.5.0         
  [61] data.table_1.18.2.1 hms_1.1.4           foreach_1.5.2      
  [64] pillar_1.11.1       mitools_2.4         splines_4.5.2      

multipleImputation.html

@@ -648,9 +648,9 @@
 [1] stats     graphics  grDevices utils     datasets  methods   base     
 
 other attached packages:
- [1] lubridate_1.9.4  forcats_1.0.1    stringr_1.6.0    dplyr_1.1.4     
+ [1] lubridate_1.9.5  forcats_1.0.1    stringr_1.6.0    dplyr_1.2.0     
  [5] purrr_1.2.1      readr_2.1.6      tidyr_1.3.2      tibble_3.3.1    
- [9] ggplot2_4.0.1    tidyverse_2.0.0  anonymizer_0.2.2
+ [9] ggplot2_4.0.2    tidyverse_2.0.0  anonymizer_0.2.2
 
 loaded via a namespace (and not attached):
  [1] gtable_0.3.6       jsonlite_2.0.0     compiler_4.5.2     tidyselect_1.2.1