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bayesplot (version 1.4.0)

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

1.4.0

License

GPL (>= 3)

Maintainer

Jonah Gabry

Last Published

September 12th, 2017

Functions in bayesplot (1.4.0)

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

Plots for Markov chain Monte Carlo simulations

Combination plots

MCMC-diagnostics

General MCMC diagnostics

Parallel coordinates plot of MCMC draws

Compare MCMC estimates to "true" parameter values

MCMC-distributions

Histograms and kernel density plots of MCMC draws

Plot interval estimates from MCMC draws

MCMC-scatterplots

Scatterplots of MCMC draws

Trace plot (time series plot) of MCMC draws

PPC-scatterplots

PPC scatterplots

Get or view the names of available plotting functions

PPCs for discrete outcomes

PPC-test-statistics

PPC test statistics

Default bayesplot plotting theme

LOO predictive checks

Graphical posterior predictive checking

PPC-distributions

PPC distributions

bayesplot-package

Plots for Bayesian Models

Arrange plots in a grid

bayesplot-colors

Set, get, or view color schemes

Example draws to use in demonstrations and tests

Posterior predictive checks (S3 generic and default method)

bayesplot-extractors

Extract quantities needed for plotting from model objects

bayesplot-helpers

Convenience functions for adding or changing plot details