CRAN/E | BartMixVs

BartMixVs

Variable Selection Using Bayesian Additive Regression Trees

Installation

About

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.

Key Metrics

Version 1.0.0
R ≥ 2.10
Published 2022-05-05 505 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks BartMixVs results

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Maintainer

Maintainer

Chuji Luo

cjluo@ufl.edu

Authors

Chuji Luo

aut / cre

Michael J. Daniels

aut

Robert McCulloch

ctb

Rodney Sparapani

ctb

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10
nlme
nnet

Imports

Rcpp ≥ 1.0.6
loo
mvtnorm

LinkingTo

Rcpp