Description
Bayesian Additive Regression Trees for Confounder Selection.
Description
Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
README.md
bartcs
Fit Bayesian Additive Regression Trees (BART) models to select confounders and estimate treatment effect.
Installation
You can install from CRAN with:
install.packages("bartcs")
Or you can install the development version from GitHub with:
remotes::install_github("yooyh/bartcs")
For Mac Users Only
bartcs supports multi-threading by OpenMP. If you
- Have OpenMP installed
- And want to use OpenMP multi-threading
then install package from source with:
# build from source
install.packages("bartcs", type = "source")
# count OpemMP thread
bartcs::count_omp_thread() # this should be greater than 1