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mcmc_combo()
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Combination plots |
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mcmc_rhat() mcmc_rhat_hist() mcmc_rhat_data() mcmc_neff() mcmc_neff_hist() mcmc_neff_data() mcmc_acf() mcmc_acf_bar()
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General MCMC diagnostics |
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mcmc_hist() mcmc_dens() mcmc_hist_by_chain() mcmc_dens_overlay() mcmc_dens_chains() mcmc_dens_chains_data() mcmc_violin()
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Histograms and kernel density plots of MCMC draws |
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mcmc_intervals() mcmc_areas() mcmc_areas_ridges() mcmc_intervals_data() mcmc_areas_data() mcmc_areas_ridges_data()
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Plot interval estimates from MCMC draws |
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mcmc_nuts_acceptance() mcmc_nuts_divergence() mcmc_nuts_stepsize() mcmc_nuts_treedepth() mcmc_nuts_energy()
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Diagnostic plots for the No-U-Turn-Sampler (NUTS) |
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MCMC-overview MCMC
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Plots for Markov chain Monte Carlo simulations |
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mcmc_parcoord() mcmc_parcoord_data() parcoord_style_np()
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Parallel coordinates plot of MCMC draws |
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mcmc_recover_intervals() mcmc_recover_scatter() mcmc_recover_hist()
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Compare MCMC estimates to "true" parameter values |
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mcmc_scatter() mcmc_hex() mcmc_pairs() scatter_style_np() pairs_style_np() pairs_condition()
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Scatterplots of MCMC draws |
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mcmc_trace() mcmc_trace_highlight() trace_style_np() mcmc_rank_overlay() mcmc_rank_hist() mcmc_rank_ecdf() mcmc_trace_data()
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Trace and rank plots of MCMC draws |
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ppc_km_overlay() ppc_km_overlay_grouped()
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PPC censoring |
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ppc_bars() ppc_bars_grouped() ppc_rootogram() ppc_bars_data()
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PPCs for discrete outcomes |
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ppc_data() ppc_dens_overlay() ppc_dens_overlay_grouped() ppc_ecdf_overlay() ppc_ecdf_overlay_grouped() ppc_dens() ppc_hist() ppc_freqpoly() ppc_freqpoly_grouped() ppc_boxplot() ppc_violin_grouped() ppc_pit_ecdf() ppc_pit_ecdf_grouped()
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PPC distributions |
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ppc_error_hist() ppc_error_hist_grouped() ppc_error_scatter() ppc_error_scatter_avg() ppc_error_scatter_avg_grouped() ppc_error_scatter_avg_vs_x() ppc_error_binned() ppc_error_data()
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PPC errors |
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ppc_intervals() ppc_intervals_grouped() ppc_ribbon() ppc_ribbon_grouped() ppc_intervals_data() ppc_ribbon_data()
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PPC intervals |
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ppc_loo_pit_overlay() ppc_loo_pit_data() ppc_loo_pit_qq() ppc_loo_pit_ecdf() ppc_loo_pit() ppc_loo_intervals() ppc_loo_ribbon()
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LOO predictive checks |
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PPC-overview PPC
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Graphical posterior predictive checking |
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ppc_scatter() ppc_scatter_avg() ppc_scatter_avg_grouped() ppc_scatter_data() ppc_scatter_avg_data()
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PPC scatterplots |
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ppc_stat() ppc_stat_grouped() ppc_stat_freqpoly() ppc_stat_freqpoly_grouped() ppc_stat_2d() ppc_stat_data()
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PPC test statistics |
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ppd_data() ppd_dens_overlay() ppd_ecdf_overlay() ppd_dens() ppd_hist() ppd_freqpoly() ppd_freqpoly_grouped() ppd_boxplot()
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PPD distributions |
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ppd_intervals() ppd_intervals_grouped() ppd_ribbon() ppd_ribbon_grouped() ppd_intervals_data() ppd_ribbon_data()
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PPD intervals |
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PPD-overview PPD
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Plots of posterior or prior predictive distributions |
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ppd_stat() ppd_stat_grouped() ppd_stat_freqpoly() ppd_stat_freqpoly_grouped() ppd_stat_2d() ppd_stat_data()
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PPD test statistics |
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available_ppc() available_ppd() available_mcmc()
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Get or view the names of available plotting or data functions |
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color_scheme_set() color_scheme_get() color_scheme_view()
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Set, get, or view bayesplot color schemes |
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log_posterior() nuts_params() rhat() neff_ratio()
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Extract quantities needed for plotting from model objects |
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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()
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Convenience functions for adding or changing plot details |
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bayesplot-package bayesplot
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bayesplot: Plotting for Bayesian Models |
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bayesplot_grid()
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Arrange plots in a grid |
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bayesplot_theme_get() bayesplot_theme_set() bayesplot_theme_update() bayesplot_theme_replace()
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Get, set, and modify the active bayesplot theme |
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pp_check()
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Posterior (or prior) predictive checks (S3 generic and default method) |
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theme_default()
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Default bayesplot plotting theme |
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param_range() param_glue()
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Tidy parameter selection |