CRAN/E | bartcs

bartcs

Bayesian Additive Regression Trees for Confounder Selection

Installation

About

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.

Citation bartcs citation info
github.com/yooyh/bartcs
Bug report File report

Key Metrics

Version 1.2.1
R ≥ 3.4.0
Published 2024-01-24 94 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks bartcs results

Downloads

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Maintainer

Maintainer

Yeonghoon Yoo

yooyh.stat@gmail.com

Authors

Yeonghoon Yoo

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

Bayesian

Vignettes

Introduction to bartcs

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bartcs archive

Depends

R ≥ 3.4.0

Imports

coda ≥ 0.4.0
ggcharts
ggplot2
invgamma
MCMCpack
Rcpp ≥ 0.11.0
rlang
rootSolve
stats

Suggests

knitr
microbenchmark
rmarkdown

LinkingTo

Rcpp