Nothing
BART: Bayesian Additive Regression Trees
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 <doi:10.18637/jss.v097.i01>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Robert McCulloch [aut], Rodney Sparapani [aut, cre], Charles Spanbauer [aut], Robert Gramacy [aut], Matthew Pratola [aut], Martyn Plummer [ctb], Nicky Best [ctb], Kate Cowles [ctb], Karen Vines [ctb] |
| Maintainer | Rodney Sparapani <rsparapa@mcw.edu> |
| License | GPL (>= 2) |
| Version | 2.9.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the BART package in your browser
Any scripts or data that you put into this service are public.
