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bayesplot (version 1.3.0)

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

34,020

Version

1.3.0

License

GPL (>= 3)

Homepage

http://mc-stan.org/

Maintainer

Jonah Gabry

Last Published

August 7th, 2017

Functions in bayesplot (1.3.0)

Compare MCMC estimates to "true" parameter values

MCMC-scatterplots

Scatterplots of MCMC draws

Combination plots

MCMC-diagnostics

General MCMC diagnostics

Traceplot (time series plot) of MCMC draws

PPCs for discrete outcomes

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

Plots for Markov chain Monte Carlo simulations

MCMC-distributions

Histograms and kernel density plots of MCMC draws

Plot interval estimates from MCMC draws

Graphical posterior predictive checking

PPC-scatterplots

PPC scatterplots

PPC-distributions

PPC distributions

LOO predictive checks

Arrange plots in a grid

Example draws to use in demonstrations and tests

PPC-test-statistics

PPC test statistics

Get or view the names of available plotting functions

bayesplot-helpers

Convenience functions for adding or changing plot details

bayesplot-package

Plots for Bayesian Models

bayesplot-colors

Set, get, or view color schemes

bayesplot-extractors

Extract quantities needed for plotting from model objects

Posterior predictive checks (S3 generic and default method)

Default bayesplot plotting theme