tidybayes 2.1.1

• Initial split of tidybayes into tidybayes and ggdist (#250). ggdist now contains all stats/geoms from tidybayes (except deprecated ones), all support functions for stats/geoms (such as point_interval()), vignette("slabinterval"), and vignette("freq-uncertainty-vis"). tidybayes retains all other functions, and re-exports all ggdist functions for now.
• All stats and geoms now support automatic orientation detection (#257), following the new automatic orientation detection approach in ggplot2. If needed, this can be overridden using the existing orientation parameter.
  • All h-suffix geoms are now deprecated. The h-suffix geoms have been left in tidybayes and give a deprecation warning when used; they cannot be used from ggdist directly.
  • The h-suffix point_interval() functions are also deprecated, since they are not needed in tidybayes nor in ggplot2::stat_summary().
  • geom_interval(), geom_pointinterval(), and geom_lineribbon() no longer automatically set the ymin and ymax aesthetics if .lower or .upper are present in the data. This allows them to work better with automatic orientation detection (and was a bad feature to have existed in the first place anyway). The deprecated tidybayes::geom_intervalh() and tidybayes::geom_pointintervalh() still automatically set those aesthetics, since they are deprecated anyway (so supporting the old behavior is fine in these functions).
• geom_lineribbon()/stat_lineribbon() now supports a step argument for creating stepped lineribbons (#249). H/T to Solomon Kurz for the suggestion.
• ggdist now has its own implementation of the scaled and shifted Student’s t distribution (dstudent_t(), qstudent_t(), etc), since it is very useful for visualizing confidence distributions. That is re-exported in tidybayes as well`.
• All deprecated functions and geoms now throw deprecation warnings (previously, several deprecated functions did not).

tidybayes 2.0.3

Minor fixes for changes in tibble 3.0.0

tidybayes 2.0.2

Various minor forward and backward compatibility fixes:

• Fix stringsAsFactors issues for R 4
• Fix issues with [[<- for R 4
• Fix minor issues with dplyr 1.0.0
• Use parse() instead of str2lang() for compatibility with R <= 3.6

tidybayes 2.0.1

• Various geoms and stats have been merged together under the geom_slabinterval() and stat_slabinterval() “meta-geom” (#84). This has enabled a bunch of new geoms to be created (see vignette("slabinterval") and fixed a number of outstanding issues:
  • Histogram geoms and histogram+interval geoms (#162)
  • CCDF bar charts and gradient plots
  • The alpha aesthetic can now be mapped on eye plots (and all related geoms) (#163)
  • Vertical version of eye plot (and vertical/horizontal variants of all slabinterval variants) (#56)
  • Intervals and densities are now correctly grouped in eye plots (e.g. when dodging) (#83)
  • Fill and color aesthetics can now be mapped within the slab part of eyes (and all slabintervals), allowing gradients to be made easily (#136) and regions of practical equivalence (ROPEs) to be annotated easily. Examples of ROPEs have been added to the main vignettes (#129).
  • Intervals and eyes support position = "dodge" correctly (#180)
  • The new geoms (and replacements for old ones) have custom scales allowing fine-grained targeting of fill, color, and size aesthetics of all the component parts of the composite geoms.
  • There is a new sub-family of auto-sizing Wilkinson dotplot stats and geoms, geom_dots() and geom_dotsinterval() (#210). These include a quantiles parameter on the stats to make it easy to create quantile dotplots.
• Analytical distributions can be visualized using the new stat_dist_... family of geoms for both the geom_slabinterval() family and geom_lineribbon() (see stat_dist_slabinterval() and stat_dist_lineribbon()).
• The new parse_dist(), which parses distribution specifications (like normal(0,1)) into tidy columns, can be combined with the stat_dist_... family of geoms to easily to visualize priors (e.g. from brms).
• New distribution functions for the marginal LKJ distribution (dlkjcorr_marginal() and company), combined with parse_dist() and the stat_dist_... family make it easy to visualize the marginal LKJ prior on a cell in a correlation matrix. (#191 #192)
• There is a new vignette on frequentist uncertainty visualization, vignette("freq-uncertainty-vis"), also made possible by the new stat_dist_... family of geoms (#188)
• tidy_draws() can now be applied to already-tidied data frames, allowing dependent functions (like spread_draws() and gather_draws()) to also be applied to data frames directly (#82). This can be a useful optimization in workflows where the initial tidying is slow but spreading/gathering is fast (see discussion in #144)
• Kruschke-style distribution-of-distribution plots are now easier to construct with stat_dist_slabh(). An example of this usage is in vignette("tidy-brms").
• hdi() now uses trimmed densities by default to avoid odd behavior with bounded distributions (#165).
• compare_levels(comparison = ) now uses a modern tidy approach to dealing with unevaluated expressions, so rlang::exprs() can be used in place of plyr::.() (#174, #175)
• geom_lineribbon() now works with ggnewscale (#178)
• fitted_draws()/predicted_draws() give more helpful error messages on unsupported models (#177)

tidybayes 1.1.0

New features and documentation:

• Support matrices, n-d arrays, and lists of vectors in compose_data (#159)
• Support nested vectors, matrices, n-d arrays, and ragged arrays through x[.,.] syntax in gather/spread_draws (#154)
• Add detached-line-ribbon HOPs example for ordinal models in brms vignette

Bug fixes:

• Fixed errors on CRAN from changes in brms
• Properly handle Dirichlet responses in predicted_draws (#164)

tidybayes 1.0.4

New features and documentation:

• Initial support for add_residual_draws, towards #133
• Add tidybayes-residuals vignette
• Add add_draws to support models that add_[fitted|predicted]_draws does not (closes #149)
• Add sample_draws to make it easier to take fewer draws anywhere in the pipeline (towards #144)
• Add hypothetical outcome plots (HOPs) to examples

Minor changes:

• Fixed errors on CRAN from changes in dplyr
• Fix bug to support multivariate models in predicted_draws(), closes #134
• Add support for emm_list in gather_emmeans_draws(), closes #126
• Default for show.legend no longer omits all guides
• Make default geom_lineribbon() color black, closes #153

tidybayes 1.0.3

• Added gather_pairs method for creating custom scatterplot matrices (and more!)
• Ordinal models in brms now use original category labels (#122)
• NA values are now better supported in point_interval, and it has an na.rm argument (#123)
• Added sampler diagnostics to tidy_draws() Stan output (#109)
• Added MCMCglmm+emmeans example to vignettes
• Add guards to prevent usage of packages listed in Suggests

tidybayes 1.0.0

Major changes:

• First CRAN release.
• Various function, argument, and column name changes towards unification with the Stan ecosystem. See help(“tidybayes-deprecated”) for more information.