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bayesplot (version 1.2.0)

Plotting for Bayesian Models

Description

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.

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Version

Install

install.packages('bayesplot')

Monthly Downloads

41,522

Version

1.2.0

License

GPL (>= 3)

Homepage

http://mc-stan.org/

Maintainer

Jonah Gabry

Last Published

April 12th, 2017

Functions in bayesplot (1.2.0)

Combination plots

MCMC-diagnostics

General MCMC diagnostics

MCMC-distributions

Histograms and kernel density plots of MCMC draws

Plot interval estimates from MCMC draws

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

Plots for Markov chain Monte Carlo simulations

Compare MCMC estimates to "true" parameter values

MCMC-scatterplots

Scatterplots of MCMC draws

Traceplot (time series plot) of MCMC draws

PPCs for discrete outcomes

PPC-test-statistics

PPC test statistics

Get or view the names of available plotting functions

bayesplot-colors

Set, get, or view color schemes

bayesplot-extractors

Extract quantities needed for plotting from model objects

Graphical posterior predictive checking

PPC-scatterplots

PPC scatterplots

Arrange plots in a grid

Example draws to use in demonstrations and tests

LOO predictive checks

bayesplot-helpers

Convenience functions for adding or changing plot details

PPC-distributions

PPC distributions

Posterior predictive checks (S3 generic and default method)

Default plotting theme

bayesplot-package

Plots for Bayesian Models