docs rebuild + cran comments

README.Rmd

@@ -6,8 +6,16 @@ output: github_document
 knitr::opts_chunk$set(
   fig.path = "man/figures/README/"
 )
-if (capabilities("cairo")) {
+knitr::opts_chunk$set(
+  fig.retina = 2
+)
+if (requireNamespace("ragg", quietly = TRUE)) {
+  knitr::opts_chunk$set(
+    dev = "ragg_png"
+  )
+} else if (capabilities("cairo")) {
   knitr::opts_chunk$set(
+    dev = "png",
     dev.args = list(png = list(type = "cairo"))
   )
 }

README.md

@@ -236,7 +236,7 @@ ABC %>%
   ylab("condition")
 ```
 
-![](man/figures/README/make_data-1.png)<!-- -->
+<img src="man/figures/README/make_data-1.png" width="672" />
 
 A hierarchical model of this data might fit an overall mean across the
 conditions (`overall_mean`), the standard deviation of the condition
@@ -363,7 +363,7 @@ m %>%
   stat_eye()
 ```
 
-![](man/figures/README/stat_eye-1.png)<!-- -->
+<img src="man/figures/README/stat_eye-1.png" width="672" />
 
 Or one can employ the similar “half-eye” plot:
 
@@ -374,7 +374,7 @@ m %>%
   stat_halfeye()
 ```
 
-![](man/figures/README/stat_halfeye-1.png)<!-- -->
+<img src="man/figures/README/stat_halfeye-1.png" width="672" />
 
 A variety of other stats and geoms for visualizing priors and posteriors
 are available; see `vignette("slabinterval", package = "ggdist")` for an
@@ -407,7 +407,7 @@ m %>%
   stat_dots(quantiles = 100) 
 ```
 
-![](man/figures/README/quantile_dotplots-1.png)<!-- -->
+<img src="man/figures/README/quantile_dotplots-1.png" width="672" />
 
 The idea is to get away from thinking about the posterior as indicating
 one canonical point or interval, but instead to represent it as (say)
@@ -495,7 +495,7 @@ bind_rows(linear_results, bayes_results) %>%
   geom_pointinterval(position = position_dodge(width = .3))
 ```
 
-![](man/figures/README/broom_bind-1.png)<!-- -->
+<img src="man/figures/README/broom_bind-1.png" width="672" />
 
 Shrinkage towards the overall mean is visible in the Bayesian results.
 
@@ -525,7 +525,7 @@ m %>%
   geom_point(aes(x = response), data = ABC)
 ```
 
-![](man/figures/README/pp_intervals-1.png)<!-- -->
+<img src="man/figures/README/pp_intervals-1.png" width="672" />
 
 This plot shows 66% and 95% quantile credible intervals of posterior
 median for each condition (point + black line); 95%, 80%, and 50%
@@ -566,7 +566,7 @@ mtcars %>%
   scale_fill_brewer()
 ```
 
-![](man/figures/README/pp_bands-1.png)<!-- -->
+<img src="man/figures/README/pp_bands-1.png" width="672" />
 
 `ggdist::stat_lineribbon(aes(y = .prediction), .width = c(.99, .95, .8, .5))`
 is one of several shortcut geoms that simplify common combinations of
@@ -614,7 +614,7 @@ mtcars %>%
   facet_wrap(~ am)                                  # facet by am
 ```
 
-![](man/figures/README/pp_bands_facet-1.png)<!-- -->
+<img src="man/figures/README/pp_bands_facet-1.png" width="672" />
 
 Or, if you would like overplotted posterior fit lines, you can instead
 use `tidybayes::add_epred_draws()` to get draws from conditional means
@@ -634,7 +634,7 @@ mtcars %>%
   facet_wrap(~ am)
 ```
 
-![](man/figures/README/spaghetti-1.png)<!-- -->
+<img src="man/figures/README/spaghetti-1.png" width="672" />
 
 Animated hypothetical outcome plots (HOPs) can also be easily
 constructed by using `gganimate`:
@@ -679,5 +679,5 @@ have encountered, but I would love to make it cover more!
 ## Citing `tidybayes`
 
 Matthew Kay (2024). *tidybayes: Tidy Data and Geoms for Bayesian
-Models*. R package version 3.0.6, <https://mjskay.github.io/tidybayes/>.
+Models*. R package version 3.0.7, <https://mjskay.github.io/tidybayes/>.
 DOI: [10.5281/zenodo.1308151](https://doi.org/10.5281/zenodo.1308151).

_pkgdown.yml

@@ -1,4 +1,4 @@
-url: http://mjskay.github.io/tidybayes
+url: https://mjskay.github.io/tidybayes
 
 
 template:
@@ -9,7 +9,7 @@ template:
 
 authors:
   Matthew Kay:
-    href: http://www.mjskay.com
+    href: https://www.mjskay.com
 
 
 reference:

cran-comments.md

@@ -1,8 +1,5 @@
-## Resubmission
-This is a resubmission fixing some failures of some examples on Windows on CRAN. Original submission comments are below.
-
 ## Submission comments
-This submission fixes a few bugs, including a minor test case failure caused by the next version of brms (2.20.1).
+This submission fixes a few minor bugs, including a NOTE and an ERROR on CRAN.
 
 ## Test environments
 * MacOS (github), R-release
@@ -11,15 +8,17 @@ This submission fixes a few bugs, including a minor test case failure caused by
 * Windows (winbuilder), R-devel
 * Linux (github), R-devel
 * Linux (github), R-release
-* Linux (github), R-oldrelease
-* Linux (github), R 3.6
+* Linux (github), R-oldrelease-1
+* Linux (github), R-oldrelease-2
+* Linux (github), R-oldrelease-3
+* Linux (github), R-oldrelease-4
 
 ## R CMD check results
 0 errors | 0 warnings | 0 notes
 
 ## revdepcheck results
 
-We checked 12 reverse dependencies (11 from CRAN + 1 from Bioconductor), comparing R CMD check results across CRAN and dev versions of this package.
+We checked 14 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
 
  * We saw 0 new problems
  * We failed to check 0 packages