Plotting functions for posterior analysis, model checking, and MCMC diagnostics. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
(GitHub issue/PR numbers in parentheses)
png device. Thanks to
TJ Mahr. (#51)xaxis_title(FALSE) and yaxis_title(FALSE) now set axis titles to NULL
rather than changing theme elements to element_blank(). This makes it easier
to add axis titles to plots that don’t have them by default. Thanks to Bill
Harris. (#53)ppc_error_hist_grouped for plotting predictive errors
by level of a grouping variable. (#40)mcmc_recover_intervals for comparing MCMC estimates to "true"
parameter values used to simulate the data. (#56)divergences to mcmc_trace function. For models fit using
HMC/NUTS this can be used to display divergences as a rug at the bottom of the
trace plot. (#42)bayesplot_grid function for juxtaposing plots and enforcing shared
axis limits. (#59)stat argument for all ppc_stat_* functions now accepts a function
instead of only the name of a function. (#31)