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bayesplot (version 1.11.1)

Plotting for Bayesian Models

Description

Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) . 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'.

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Version

Install

install.packages('bayesplot')

Monthly Downloads

27,409

Version

1.11.1

License

GPL (>= 3)

Maintainer

Jonah Gabry

Last Published

February 15th, 2024

Functions in bayesplot (1.11.1)

MCMC-combos

Combination plots
MCMC-scatterplots

Scatterplots of MCMC draws
MCMC-parcoord

Parallel coordinates plot of MCMC draws
MCMC-distributions

Histograms and kernel density plots of MCMC draws
MCMC-traces

Trace and rank plots of MCMC draws
MCMC-recover

Compare MCMC estimates to "true" parameter values
MCMC-nuts

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

General MCMC diagnostics
MCMC-overview

Plots for Markov chain Monte Carlo simulations
MCMC-intervals

Plot interval estimates from MCMC draws
PPC-errors

PPC errors
PPC-distributions

PPC distributions
PPC-test-statistics

PPC test statistics
PPD-distributions

PPD distributions
PPC-overview

Graphical posterior predictive checking
PPC-censoring

PPC censoring
PPC-discrete

PPCs for discrete outcomes
PPC-intervals

PPC intervals
PPC-loo

LOO predictive checks
PPD-intervals

PPD intervals
PPC-scatterplots

PPC scatterplots
bayesplot-helpers

Convenience functions for adding or changing plot details
bayesplot_grid

Arrange plots in a grid
bayesplot-package

bayesplot: Plotting for Bayesian Models
PPD-overview

Plots of posterior or prior predictive distributions
bayesplot_theme_get

Get, set, and modify the active bayesplot theme
bayesplot-colors

Set, get, or view bayesplot color schemes
PPD-test-statistics

PPD test statistics
bayesplot-extractors

Extract quantities needed for plotting from model objects
available_ppc

Get or view the names of available plotting or data functions
tidy-params

Tidy parameter selection
reexports

Objects exported from other packages
theme_default

Default bayesplot plotting theme
example-data

Example draws to use in demonstrations and tests
pp_check

Posterior (or prior) predictive checks (S3 generic and default method)