Functions for carrying out a wide variety of graphical model checks based on comparing observed data to draws from the posterior predictive distribution.

ppc_bars ppc_bars_grouped ppc_rootogram

PPCs for discrete outcomes

ppc_hist ppc_boxplot ppc_freqpoly ppc_freqpoly_grouped ppc_dens ppc_dens_overlay ppc_ecdf_overlay ppc_violin_grouped

PPC distributions

ppc_error_hist ppc_error_hist_grouped ppc_error_scatter ppc_error_scatter_avg ppc_error_scatter_avg_vs_x ppc_error_binned

PPC errors

ppc_intervals ppc_intervals_grouped ppc_ribbon ppc_ribbon_grouped ppc_intervals_data ppc_ribbon_data

PPC intervals

ppc_loo_pit ppc_loo_intervals ppc_loo_ribbon

LOO predictive checks

ppc_scatter ppc_scatter_avg ppc_scatter_avg_grouped

PPC scatterplots

ppc_stat ppc_stat_grouped ppc_stat_freqpoly_grouped ppc_stat_2d

PPC test statistics


Posterior predictive checks (S3 generic and default method)


Functions for creating plots of MCMC draws of model parameters and general MCMC diagnostics.

mcmc_rhat mcmc_rhat_hist mcmc_rhat_data mcmc_neff mcmc_neff_hist mcmc_neff_data mcmc_acf mcmc_acf_bar

General MCMC diagnostics

mcmc_hist mcmc_dens mcmc_hist_by_chain mcmc_dens_overlay mcmc_violin

Histograms and kernel density plots of MCMC draws

mcmc_intervals mcmc_areas

Plot interval estimates from MCMC draws

mcmc_recover_intervals mcmc_recover_scatter mcmc_recover_hist

Compare MCMC estimates to "true" parameter values

mcmc_scatter mcmc_hex mcmc_pairs scatter_style_np pairs_style_np pairs_condition

Scatterplots of MCMC draws

mcmc_parcoord mcmc_parcoord_data parcoord_style_np

Parallel coordinates plot of MCMC draws

mcmc_trace mcmc_trace_highlight trace_style_np

Trace plot (time series plot) of MCMC draws


Combination plots

HMC/NUTS diagnostics

Functions for plotting diagnostics specific to Hamiltonian Monte Carlo (HMC) and the No-U-Turn Sampler (NUTS). Some of the general MCMC plotting functions (mcmc_parcoord, mcmc_pairs, mcmc_scatter, mcmc_trace) can also show HMC/NUTS diagnostic information if optional arguments are specified, but the special functions below are only intended for use with HMC/NUTS.

mcmc_nuts_acceptance mcmc_nuts_divergence mcmc_nuts_stepsize mcmc_nuts_treedepth mcmc_nuts_energy

Diagnostic plots for the No-U-Turn-Sampler (NUTS)


Functions for setting color schemes, customizing various plot features, and arranging multiple plots.

color_scheme_set color_scheme_get color_scheme_view

Set, get, or view color schemes


Arrange plots in a grid


Default bayesplot plotting theme

vline_at hline_at vline_0 hline_0 abline_01 lbub legend_move legend_none legend_text xaxis_title xaxis_text xaxis_ticks yaxis_title yaxis_text yaxis_ticks facet_text facet_bg panel_bg plot_bg grid_lines overlay_function

Convenience functions for adding or changing plot details


Functions for extracting various quantities needed for plotting from model objects, generating data for examples, and listing available plotting functions.

log_posterior nuts_params rhat neff_ratio

Extract quantities needed for plotting from model objects

example_mcmc_draws example_yrep_draws example_y_data example_x_data example_group_data

Example draws to use in demonstrations and tests

available_ppc available_mcmc

Get or view the names of available plotting functions