update vignette dependencies

Added CRAN-SUBMISSION file for version tracking. Updated vignettes to load OpenMx and EasyMx libraries using `library()` for consistency, and fixed a typo in a library call. Improved accessibility attributes in an image tag in v0_network.html.

Author: smasongarrison

CRAN-SUBMISSION

@@ -0,0 +1,3 @@
+Version: 1.5.2
+Date: 2026-01-09 18:55:52 UTC
+SHA: 441a17a6908bb735f38c079d8ce77ef2f6195664

vignettes/v0_network.html

@@ -530,7 +530,7 @@ <h1>Subsetting Pedigrees</h1>
 there are not children to connect the two individuals together yet.</p>
 <div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" tabindex="-1"></a>subset_rows <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>, <span class="dv">31</span><span class="sc">:</span><span class="dv">36</span>)</span>
 <span id="cb10-2"><a href="#cb10-2" tabindex="-1"></a>subset_potter <span class="ot">&lt;-</span> potter[subset_rows, ]</span></code></pre></div>
-<p><img role="img" src="data:image/png;base64,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" width="50%" /></p>
+<p><img role="img" aria-label src="data:image/png;base64,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" alt width="50%" /></p>
 </div>
 
 

vignettes/v1_modelingvariancecomponents.Rmd

@@ -24,15 +24,16 @@ This vignette provides a detailed guide to specific functions within the `BGmisc
 
 ```{r setup, include=FALSE}
 library(BGmisc)
-if (!requireNamespace("EasyMx", quietly = TRUE)) {
-  message("Please install EasyMx to run the model fitting examples.")
-} else {
-  require(EasyMx)
-}
+
 if (!requireNamespace("OpenMx", quietly = TRUE)) {
   message("Please install OpenMx to run the model fitting examples.")
 } else {
-  require(OpenMx)
+  library(OpenMx)
+}
+if (!requireNamespace("EasyMx", quietly = TRUE)) {
+  message("Please install EasyMx to run the model fitting examples.")
+} else {
+  library(EasyMx)
 }
 ```
 
@@ -116,7 +117,12 @@ if (!requireNamespace("OpenMx", quietly = TRUE)) {
     zyg = rep(c(1, 3), each = n_subjects / 2)
   )
   twinData$ht2 <- twinData$ht1 * ifelse(twinData$zyg == 1, 1, 0.5) +
-    rnorm(n_subjects, mean = 0, sd = df_summary_data$ht2_sd) + .1 * rnorm(n_subjects, mean = df_summary_data$ht2_mean, sd = df_summary_data$ht2_sd)
+    rnorm(n_subjects, 
+          mean = 0, sd = df_summary_data$ht2_sd) + 
+    .1 * rnorm(n_subjects, 
+               mean = df_summary_data$ht2_mean,
+               sd = df_summary_data$ht2_sd)
+  
   twinData$ht2[twinData$zyg == 3] <- twinData$ht2[twinData$zyg == 3] + .5 * rnorm(sum(twinData$zyg == 3), mean = df_summary_data$ht2_mean, sd = df_summary_data$ht2_sd)
 } else {
   data(twinData, package = "OpenMx")
@@ -147,6 +153,7 @@ Let us fit the data with MZ twins by themselves.
 if (!requireNamespace("EasyMx", quietly = TRUE)) {
   print("Please install EasyMx to run the model fitting examples.")
 } else {
+  library(EasyMx)
   run1 <- emxTwinModel(
     model = "Cholesky",
     relatedness = "RCoef",
@@ -165,6 +172,7 @@ As you can see the model was unsuccessful because it was not identified. But whe
 if (!requireNamespace("EasyMx", quietly = TRUE)) {
   print("Please install EasyMx to run the model fitting examples.")
 } else {
+  library(EasyMx)
   run2 <- emxTwinModel(
     model = "Cholesky",
     relatedness = "RCoef",