brmstools is an R package available on GitHub.
brmstools provides convenient plotting and post-processing functions for brmsfit objects (bayesian regression models fitted with the brms R package).
brmstools is in beta version so will probably break down with some inputs: Suggestions for improvements and bug reports are welcomed. For anything more complex I strongly recommend using brms’ native functions instead (particularly its
hypothesis() methods. Combined with ggplot2 those functions will create any visualization you can think of.)
Install brmstools from GitHub with devtools:
Loading brmstools also loads the brms package:
library(brmstools) #> Loading required package: ggplot2 #> Loading required package: brms #> Loading required package: Rcpp #> Loading 'brms' package (version 2.5.3). Useful instructions #> can be found by typing help('brms'). A more detailed introduction #> to the package is available through vignette('brms_overview'). #> Run theme_set(theme_default()) to use the default bayesplot theme.
forest() draws forest plots for meta-analytic and multilevel models:
Examples and instructions can be found at https://mvuorre.github.io/brmstools.