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BartMixVs
View on CRAN: Click
here
Download and install BartMixVs package within the R console
Install from CRAN:
install.packages("BartMixVs")
Install from Github:
library("remotes")
install_github("cran/BartMixVs") Install by package version:
library("remotes")
install_version("BartMixVs", "1.0.0") Attach the package and use:
library("BartMixVs")
Maintained by
Chuji Luo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-05
Latest Update:
Description:
Bayesian additive regression trees (BART) provides flexible non-parametric modeling of mixed-type predictors for continuous and binary responses. This package is built upon CRAN R package 'BART', version 2.7 (). It implements the three proposed variable selection approaches in the paper: Luo, C and Daniels, M. J. (2021), "Variable Selection Using Bayesian Additive Regression Trees." , and other three existing BART-based variable selection approaches.
How to cite:
Chuji Luo (2022). BartMixVs: Variable Selection Using Bayesian Additive Regression Trees. R package version 1.0.0, https://cran.r-project.org/web/packages/BartMixVs. Accessed 04 Aug. 2026.
Previous versions and publish date:
1.0.0 (2022-05-05 07:50), (2026-07-09 07:58)
Other packages that cited BartMixVs R package
View BartMixVs citation profile
Other R packages that BartMixVs depends,
imports, suggests or enhances
Functions, R codes and Examples using
the BartMixVs R package
Some associated functions: BartMixVs-package . abc.vs . bartModelMatrix . checkerboard . friedman . mc.abc.vs . mc.backward.vs . mc.cores.openmp . mc.pbart . mc.permute.vs . mc.pwbart . mc.wbart . medianInclusion.vs . mixone . mixtwo . pbart . permute.vs . predict.pbart . predict.wbart . pwbart . wbart .
Some associated R codes: RcppExports.R . abc.vs.R . bart.loo.R . bartModelMatrix.R . gen.data.R . mc.abc.vs.R . mc.backward.vs.R . mc.cores.openmp.R . mc.pbart.R . mc.permute.vs.R . mc.pwbart.R . mc.wbart.R . median.inclusion.vs.R . pbart.R . permute.vs.R . predict.pbart.R . predict.wbart.R . pwbart.R . wbart.R . Full BartMixVs package functions and examples
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