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tidybayes (version 1.0.1)

Tidy Data and 'Geoms' for Bayesian Models

Description

Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.

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Install

install.packages('tidybayes')

Monthly Downloads

11,100

Version

1.0.1

License

GPL (>= 3)

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Repository

https://github.com/mjskay/tidybayes

Homepage

http://mjskay.github.io/tidybayes

Maintainer

Matthew Kay

Last Published

August 2nd, 2018

Functions in tidybayes (1.0.1)

Combine the chain and iteration columns of tidy data frames of draws

Eye plots of densities with point and interval summaries (ggplot geom)

Density bins as data frames suitable for use with predict_curve

gather_emmeans_draws

Extract a tidy data frame of draws of posterior distributions of "estimated marginal means" (emmeans/lsmeans) from a Bayesian model fit.

stat_pointinterval

Point summary + multiple probability interval plots (ggplot stat)

Data lists for input into Bayesian models

Get the names of the variables in a fitted Bayesian model

tidy-format-translators

Translate between different tidy data frame formats for draws from distributions

Compare the value of draws of some variable from a Bayesian model for different levels of a factor

Decorate a model fit or sample with data types recovered from the input data

Thinned subset of posterior sample from a Bayesian analysis of perception of correlation.

Half-eye plots of densities with point and interval summaries (ggplot geom)

geom_lineribbon

Line + multiple probability ribbon plots (ggplot geom)

Multiple probability interval plots (ggplot stat)

Extract draws of variables in a Bayesian model fit into a tidy data format

add_fitted_draws

Add draws from (possibly transformed) posterior linear predictors (the "fit") or from posterior predictions of a model to a data frame

Multiple probability interval plots (ggplot geom)

geom_pointinterval

Point + multiple probability interval plots (ggplot geom)

Prefix function generator for composing dimension index columns

Point and interval summaries for tidy data frames of draws from distributions

stat_lineribbon

Line + multiple probability ribbon stat for ggplot

tidybayes-ggproto

Base ggproto classes for tidybayes

Turn tidy data frames of variables from a Bayesian model back into untidy data

Deprecated: Prediction curves for arbitrary functions of posteriors

tidybayes-deprecated

Deprecated functions, arguments, and column names in tidybayes

Get a sample of posterior draws from a model as a tibble

Generate lookup vectors for composing nested indices

tidybayes-models

Models supported by tidybayes

Compose data for input into a Bayesian model

gather_variables

Gather variables from a tidy data frame of draws from variables into a single column