timebart: timebart: Survival Analysis with BART

Share:

Bayesian Additive Regression Trees (BART) have been shown to provide flexible nonparametric modeling of covariates to binary and continuous outcomes. This R package extends BART to time-to-event outcomes with right censoring including recurrent events.

Author
Rodney Sparapani <rsparapa@mcw.edu>
Date of publication
2016-11-14 14:43:28
Maintainer
Rodney Sparapani <rsparapa@mcw.edu>
License
GPL (>= 2)
Version
1.0
URLs

View on R-Forge

Man pages

mc.surv.bart.gse
Global SE variable selection for nonparametric survival...
recur.bart
Nonparametric survival analysis with BART
recur.pre.bart
Data construction for nonparametric survival analysis with...
surv.bart
Nonparametric survival analysis with BART
surv.bart.dss
Decoupling Shrinkage and Selection (DSS) variable selection...
surv.pre.bart
Data construction for nonparametric survival analysis with...

Files in this package

timebart/COPYING
timebart/DESCRIPTION
timebart/NAMESPACE
timebart/R
timebart/R/crisk.bart.R
timebart/R/crisk.pre.bart.R
timebart/R/mc.bart.R
timebart/R/mc.crisk.bart.R
timebart/R/mc.recur.bart.R
timebart/R/mc.surv.bart.R
timebart/R/mc.surv.bart.dss.R
timebart/R/mc.surv.bart.gse.R
timebart/R/recur.bart.R
timebart/R/recur.pre.bart.R
timebart/R/surv.bart.R
timebart/R/surv.bart.dss.R
timebart/R/surv.pre.bart.R
timebart/man
timebart/man/mc.surv.bart.gse.Rd
timebart/man/recur.bart.Rd
timebart/man/recur.pre.bart.Rd
timebart/man/surv.bart.Rd
timebart/man/surv.bart.dss.Rd
timebart/man/surv.pre.bart.Rd