tidybayes is an R package that aims to make it easy to integrate
popular Bayesian modeling methods into a tidy data + ggplot workflow.
Tidy data frames (one observation per row) are particularly convenient for
use in a variety of R data manipulation and visualization packages (Wickham 2014).
However, when using Bayesian modeling functions like JAGS or Stan in R,
we often have to translate this data into a form the model understands,
and then after running the model, translate the resulting sample (or
predictions) into a more tidy format for use with other R functions.
tidybayes aims to simplify these two common (often tedious)
operations. It also provides a variety of ggplot geometries aimed
at making the visualization of model output easier.
For a comprehensive overview of the package, see
For overviews aimed at the
brms packages, see
vignette("tidy-brms"). For an overview
of the majority of geoms in the ggdist/tidybayes family, see
vignette("slabinterval", package = "ggdist").
For a list of supported models, see tidybayes-models.
Wickham, Hadley. (2014). Tidy data. Journal of Statistical Software, 59(10), 1-23. doi: 10.18637/jss.v059.i10 .