Bayesian Additive Regression Trees for Confounder Selection

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) .

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