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Genentech · Feb 10, 2025 · e7ae1b1 · e7ae1b1
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diff --git a/README.Rmd b/README.Rmd
@@ -22,6 +22,7 @@ library(gt)
 
 <!-- badges: start -->
 [![R-CMD-check](https://github.com/Genentech/BayesERtools/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/Genentech/BayesERtools/actions/workflows/R-CMD-check.yaml)
+[![CRAN status](https://www.r-pkg.org/badges/version/BayesERtools)](https://CRAN.R-project.org/package=BayesERtools)
 <!-- badges: end -->
 
 `BayesERtools` provides a suite of tools that facilitate
@@ -36,8 +37,8 @@ exposure-response analysis using Bayesian methods.
 You can install the `BayesERtools` with:
 
 ``` r
-# install.packages('BayesERtools') # Once on CRAN
-devtools::install_github("genentech/BayesERtools") # development version
+install.packages('BayesERtools')
+# devtools::install_github("genentech/BayesERtools") # development version
 ```
 
 You also need latest version of `rstanemax` (>= 0.1.7) to use E~max~ model.

diff --git a/README.md b/README.md
@@ -6,6 +6,8 @@
 <!-- badges: start -->
 
 [![R-CMD-check](https://github.com/Genentech/BayesERtools/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/Genentech/BayesERtools/actions/workflows/R-CMD-check.yaml)
+[![CRAN
+status](https://www.r-pkg.org/badges/version/BayesERtools)](https://CRAN.R-project.org/package=BayesERtools)
 <!-- badges: end -->
 
 `BayesERtools` provides a suite of tools that facilitate
@@ -21,8 +23,8 @@ exposure-response analysis using Bayesian methods.
 You can install the `BayesERtools` with:
 
 ``` r
-# install.packages('BayesERtools') # Once on CRAN
-devtools::install_github("genentech/BayesERtools") # development version
+install.packages('BayesERtools')
+# devtools::install_github("genentech/BayesERtools") # development version
 ```
 
 You also need latest version of `rstanemax` (\>= 0.1.7) to use

diff --git a/vignettes/basic_workflow_bin.Rmd b/vignettes/basic_workflow_bin.Rmd
@@ -83,7 +83,7 @@ ermod_bin
 You can compare the observed data with the model fit using `plot_er()` 
 function.
 
-```{r}
+```{r, fig.width = 6, fig.height = 4}
 # Using `*` instead of `+` so that scale can be
 # applied for both panels (main plot and boxplot)
 plot_er_gof(ermod_bin, var_group = "Dose", show_coef_exp = TRUE) *
@@ -147,7 +147,7 @@ ermod_bin_exp_sel
 The ER curve for all the evaluated exposure metrics can be generated with 
 `plot_er_exp_sel()` function.
 
-```{r}
+```{r, fig.width = 6, fig.height = 4}
 plot_er_exp_sel(ermod_bin_exp_sel) +
   xgxr::xgx_scale_x_log10()
 ```