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tidybayes (version 3.0.7)

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

3.0.7

License

GPL (>= 3)

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Repository

https://github.com/mjskay/tidybayes/

Homepage

https://mjskay.github.io/tidybayes/

Maintainer

Matthew Kay

Last Published

September 15th, 2024

Functions in tidybayes (3.0.7)

Prefix function generator for composing dimension index columns

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

Nest and unnest rvar columns in data frames

gather_variables

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

Get the names of the variables in a fitted Bayesian model

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

Sample draws from a tidy-format data frame of draws

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

Objects exported from other packages

tidybayes-models

Models supported by tidybayes

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

Deprecated: Prediction curves for arbitrary functions of posteriors

Extract draws from a Bayesian model into tidy data frames of random variables

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

tidybayes-package

Tidy Data and 'Geoms' for Bayesian Models

summarise_draws.grouped_df

Summaries of draws in grouped_df objects

Generate lookup vectors for composing nested indices

tidybayes-deprecated

Deprecated functions, arguments, and column names in tidybayes

add_epred_draws

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

emmeans_comparison

Use emmeans contrast methods with compare_levels

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

Data lists for input into Bayesian models

add_epred_rvars

Add rvars for the linear predictor, posterior expectation, posterior predictive, or residuals of a model to a data frame

Compose data for input into a Bayesian model

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

Density bins and histogram bins as data frames

Add draws to a data frame in tidy format