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tidybayes (version 1.0.4)

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

6,160

Version

1.0.4

License

GPL (>= 3)

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Repository

https://github.com/mjskay/tidybayes

Homepage

http://mjskay.github.io/tidybayes

Maintainer

Matthew Kay

Last Published

February 19th, 2019

Functions in tidybayes (1.0.4)

gather_emmeans_draws

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

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

Gather pairwise combinations of values from key/value columns in a long-format data frame

gather_variables

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

Compose data for input into a Bayesian model

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

geom_lineribbon

Line + multiple probability ribbon plots (ggplot geom)

geom_pointinterval

Point + multiple probability interval plots (ggplot geom)

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

tidybayes-deprecated

Deprecated functions, arguments, and column names in tidybayes

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

Multiple probability interval plots (ggplot stat)

Data lists for input into Bayesian models

Density bins as data frames suitable for use with predict_curve

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

add_fitted_draws

Add draws from the posterior fit, predictions, or residuals of a model to a data frame

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

Deprecated: Prediction curves for arbitrary functions of posteriors

stat_lineribbon

Line + multiple probability ribbon stat for ggplot

stat_pointinterval

Point summary + multiple probability interval plots (ggplot stat)

tidybayes-ggproto

Base ggproto classes for tidybayes

Prefix function generator for composing dimension index columns

Get the names of the variables in a fitted Bayesian model

tidybayes-models

Models supported by tidybayes

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

Add draws to a data frame in tidy format

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

Multiple probability interval plots (ggplot geom)

theme_tidybayes

Simple, light ggplot2 theme for tidybayes

tidy-format-translators

Translate between different tidy data frame formats for draws from distributions

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

Generate lookup vectors for composing nested indices

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

Sample draws from a tidy-format data frame of draws