The goal of clbart is to estimate heterogeneous effects of a primary
exposure in a case-only design. Specifically, this method is appropriate
for data which have been constructed using the design, such that only
one case exists within each strata. The effect of the primary exposure
is modeled as a function of time-invariant covariates using Bayesian
additive regression trees.
You can install the development version of clbart from
GitHub with:
# install.packages("devtools")
devtools::install_github("jacobenglert/clbart")For a detailed example of how to use the package and fit clbart
models, view the package vignette
here.