Package: bartcs 1.3.0

bartcs: 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) <doi:10.1111/biom.13833>.

Authors:Yeonghoon Yoo [aut, cre]

bartcs_1.3.0.tar.gz
bartcs_1.3.0.zip(r-4.7)bartcs_1.3.0.zip(r-4.6)bartcs_1.3.0.zip(r-4.5)
bartcs_1.3.0.tgz(r-4.6-x86_64)bartcs_1.3.0.tgz(r-4.6-arm64)bartcs_1.3.0.tgz(r-4.5-x86_64)bartcs_1.3.0.tgz(r-4.5-arm64)
bartcs_1.3.0.tar.gz(r-4.7-arm64)bartcs_1.3.0.tar.gz(r-4.7-x86_64)bartcs_1.3.0.tar.gz(r-4.6-arm64)bartcs_1.3.0.tar.gz(r-4.6-x86_64)
bartcs_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bartcs/json (API)

# Install 'bartcs' in R:

install.packages('bartcs', repos = c('https://yooyh.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yooyh/bartcs/issues

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

ihdp - Infant Health and Development Program Data

On CRAN:

cpp openmp

4.40 score 5 stars 6 scripts 430 downloads 4 exports 41 dependencies

Last updated from:8d817cb799. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	212
linux-devel-x86_64	OK	213
source / vignettes	OK	239
linux-release-arm64	OK	203
linux-release-x86_64	OK	212
macos-release-arm64	OK	109
macos-release-x86_64	OK	270
macos-oldrel-arm64	OK	119
macos-oldrel-x86_64	OK	356
windows-devel	OK	148
windows-release	OK	139
windows-oldrel	OK	139
wasm-release	OK	217

Exports:count_omp_thread separate_bart single_bart synthetic_data

Dependencies:cli coda colorspace cpp11 dplyr farver generics ggcharts ggplot2 glue gtable invgamma isoband labeling lattice lifecycle magrittr MASS Matrix MatrixModels mcmc MCMCpack patchwork pillar pkgconfig quantreg R6 RColorBrewer Rcpp rlang rootSolve S7 scales SparseM survival tibble tidyselect utf8 vctrs viridisLite withr

Introduction to bartcs

Rendered frombartcs.Rmdusingknitr::rmarkdown

Last update: 2025-04-08
Started: 2022-07-07

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fit BART models to select confounders and estimate treatment effect	bart separate_bart single_bart
Count the number of OpenMP threads for parallel computation	count_omp_thread
Infant Health and Development Program Data	ihdp
Draw plot for 'bartcs' object	plot.bartcs
Summary for 'bartcs' object	summary.bartcs
Synthetic dataset for simulation	synthetic_data