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BART  

Bayesian Additive Regression Trees
View on CRAN: Click here


Download and install BART package within the R console
Install from CRAN:
install.packages("BART")

Install from Github:
library("remotes")
install_github("cran/BART")

Install by package version:
library("remotes")
install_version("BART", "2.9.7")



Attach the package and use:
library("BART")
Maintained by
Rodney Sparapani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-07
Latest Update: 2023-03-25
Description:
Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information see Sparapani, Spanbauer and McCulloch .
How to cite:
Rodney Sparapani (2017). BART: Bayesian Additive Regression Trees. R package version 2.9.7, https://cran.r-project.org/web/packages/BART
Previous versions and publish date:
1.0 (2017-04-07 19:01), 1.1 (2017-04-13 19:57), 1.2 (2017-04-30 21:28), 1.3 (2017-09-21 22:37), 1.4 (2018-02-04 16:49), 1.5 (2018-02-08 23:54), 1.6 (2018-03-20 23:25), 1.7 (2018-06-08 18:18), 1.8 (2018-07-01 01:16), 1.9 (2018-08-18 08:50), 2.0 (2018-11-18 19:50), 2.1 (2018-11-30 23:50), 2.2 (2019-01-23 09:20), 2.3 (2019-03-29 00:30), 2.4 (2019-04-16 18:36), 2.5 (2019-06-17 13:50), 2.6 (2019-10-02 17:10), 2.7 (2019-12-05 10:10), 2.8 (2020-12-04 17:40), 2.9.3 (2023-02-04 21:12), 2.9.4 (2023-03-25 18:50), 2.9.6 (2024-01-10 00:43), 2.9 (2021-01-05 06:10)
Other packages that cited BART R package
View BART citation profile
Other R packages that BART depends, imports, suggests or enhances
Functions, R codes and Examples using the BART R package
Some associated functions: ACTG175 . BART-package . abart . alligator . arq . bartModelMatrix . bladder . crisk.bart . crisk.pre.bart . crisk2.bart . draw_lambda_i . gbart . gewekediag . lbart . leukemia . lung . mbart . mbart2 . mc.cores.openmp . mc.crisk.pwbart . mc.crisk2.pwbart . mc.lbart . mc.pbart . mc.surv.pwbart . mc.wbart.gse . mc.wbart . pbart . predict.crisk2bart . predict.criskbart . predict.lbart . predict.mbart . predict.pbart . predict.recurbart . predict.survbart . predict.wbart . pwbart . recur.bart . recur.pre.bart . rs.pbart . rtgamma . rtnorm . spectrum0ar . srstepwise . stratrs . surv.bart . surv.pre.bart . transplant . wbart . xdm20.test . xdm20.train . ydm20.train . 
Some associated R codes: abart.R . bartModelMatrix.R . crisk.bart.R . crisk.pre.bart.R . crisk2.bart.R . draw_lambda.R . draw_lambda_i.R . draw_z.R . gbart.R . gewekediag.R . lbart.R . mbart.R . mbart2.R . mc.abart.R . mc.cores.openmp.R . mc.crisk.bart.R . mc.crisk.pwbart.R . mc.crisk2.bart.R . mc.crisk2.pwbart.R . mc.gbart.R . mc.lbart.R . mc.mbart.R . mc.mbart2.R . mc.pbart.R . mc.pwbart.R . mc.recur.bart.R . mc.recur.pwbart.R . mc.surv.bart.R . mc.surv.pwbart.R . mc.wbart.R . mc.wbart.gse.R . pbart.R . predict.crisk2bart.R . predict.criskbart.R . predict.lbart.R . predict.mbart.R . predict.mbart2.R . predict.pbart.R . predict.recurbart.R . predict.survbart.R . predict.wbart.R . pwbart.R . recur.bart.R . recur.pre.bart.R . recur.pwbart.R . rs.pbart.R . rtgamma.R . rtnorm.R . rtnorm_reject.R . spectrum0ar.R . srstepwise.R . stratrs.R . surv.bart.R . surv.pre.bart.R . surv.pwbart.R . wbart.R .  Full BART package functions and examples
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