Merge pull request #341 from stan-dev/prep-v1.12.0

Prepare v1.12.0 for release

Author: jgabry

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: bayesplot
 Type: Package
 Title: Plotting for Bayesian Models
-Version: 1.11.1.9000
-Date: 2024-02-14
+Version: 1.12.0
+Date: 2025-04-09
 Authors@R: c(person("Jonah", "Gabry", role = c("aut", "cre"), email = "jsg2201@columbia.edu"),
              person("Tristan", "Mahr", role = "aut"),
              person("Paul-Christian", "Bürkner", role = "ctb"),
@@ -37,6 +37,7 @@ Imports:
     rlang (>= 0.3.0),
     stats,
     tibble (>= 2.0.0),
+    tidyr,
     tidyselect,
     utils
 Suggests:
@@ -55,7 +56,7 @@ Suggests:
     survival,
     testthat (>= 2.0.0),
     vdiffr (>= 1.0.2)
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 VignetteBuilder: knitr
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)

NEWS.md

@@ -1,6 +1,16 @@
-# bayesplot 1.11.1.9000
+# bayesplot 1.12.0
+
+* Expand checking workflows to more platforms by @andrjohns (#324)
+* Skip tests depending on Suggested dependency rstantools if not installed by @MichaelChirico (#325)
+* Skip tests depending on Suggested dependency gridExtra if not installed by @MichaelChirico (#326) 
+* Fix missing legends for unobserved levels in rhat and neff plots (#328)
+* Document problems with `ppc_stat` with `stat="mean"` (#329)
+* Ensure rank overlay plot starts at 0 even if not all bins present, thanks @sims1253 (#332)
+* Compatibility with ggplot2 3.6.0 by @teunbrand (#337)
+* Update GitHub actions workflows (#338)
+* Remove deprecated functions from `available_ppc()` (#340)
+* Fix missing counts in `ppc_bars_data()` by @TeemuSailynoja, thanks @famuvie (#342)
 
-Items for next release go here
 
 # bayesplot 1.11.1
 

R/mcmc-overview.R

@@ -26,7 +26,7 @@
 #' an additional column `"Chain"` that contains the chain number (an integer)
 #' corresponding to each row in the data frame.
 #' * __draws__: Any of the `draws` formats supported by the
-#' \pkg{\link{posterior}} package.
+#' \pkg{posterior} package.
 #'
 #' __Note__: typically the user should *not* include warmup iterations
 #' in the object passed to **bayesplot** plotting functions, although for

R/mcmc-scatterplots.R

@@ -212,7 +212,7 @@ mcmc_hex <- function(x,
 #'   `alpha`.
 #' @param grid_args,save_gg_objects For `mcmc_pairs()`, arguments to pass to
 #'   [bayesplot_grid()]. For example, since `mcmc_pairs()` returns
-#'   more than a single ggplot object, using [ggtitle()] afterwards
+#'   more than a single ggplot object, using `ggtitle()` afterwards
 #'   will not work. But you you can still add a title to the plot using
 #'   `grid_args = list(top="My title")`.
 #'

R/ppc-discrete.R

@@ -395,6 +395,7 @@ ppc_bars_data <-
   data <-
     reshape2::melt(tmp_data, id.vars = "group") %>%
     count(.data$group, .data$value, .data$variable) %>%
+    tidyr::complete(.data$group, .data$value, .data$variable, fill = list(n = 0)) %>% 
     group_by(.data$variable, .data$group) %>%
     mutate(proportion = .data$n / sum(.data$n)) %>%
     ungroup() %>%

man-roxygen/args-mcmc-x.R

@@ -1,7 +1,7 @@
 #' @param x An object containing MCMC draws:
 #' * A 3-D array, matrix, list of matrices, or data frame. The [MCMC-overview]
 #' page provides details on how to specify each these.
-#' * A `draws` object from the \pkg{\link{posterior}} package (e.g.,
+#' * A `draws` object from the \pkg{posterior} package (e.g.,
 #' `draws_array`, `draws_rvars`, etc.).
 #' * An object with an `as.array()` method that returns the same kind of 3-D
 #' array described on the [MCMC-overview] page.