Package: BART 2.9.9
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>.
Authors:
BART_2.9.9.tar.gz
BART_2.9.9.tar.gz(r-4.5-noble)BART_2.9.9.tar.gz(r-4.4-noble)
BART_2.9.9.tgz(r-4.4-emscripten)BART_2.9.9.tgz(r-4.3-emscripten)
BART.pdf |BART.html✨
BART/json (API)
NEWS
# Install 'BART' in R: |
install.packages('BART', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ACTG175 - AIDS Clinical Trials Group Study 175
- alligator - American alligator Food Choice
- arq - NHANES 2009-2010 Arthritis Questionnaire
- bladder - Bladder Cancer Recurrences
- bladder1 - Bladder Cancer Recurrences
- bladder2 - Bladder Cancer Recurrences
- leukemia - Bone marrow transplantation for leukemia and multi-state models
- lung - NCCTG Lung Cancer Data
- transplant - Liver transplant waiting list
- xdm20.test - A data set used in example of 'recur.bart'.
- xdm20.train - A real data example for 'recur.bart'.
- ydm20.test - A data set used in example of 'recur.bart'.
- ydm20.train - A data set used in example of 'recur.bart'.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:4e177d08a1. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-linux-x86_64 | OK | Nov 21 2024 |
Exports:abartbartModelMatrixclass.indcrisk.bartcrisk.pre.bartcrisk2.bartdraw_lambda_igbartgewekediaglbartmbartmbart2mc.abartmc.cores.openmpmc.crisk.bartmc.crisk.pwbartmc.crisk2.bartmc.crisk2.pwbartmc.gbartmc.lbartmc.mbartmc.mbart2mc.pbartmc.pwbartmc.recur.bartmc.recur.pwbartmc.surv.bartmc.surv.pwbartmc.wbartmc.wbart.gsepbartpwbartrecur.bartrecur.pre.bartrecur.pwbartrs.pbartrtgammartnormspectrum0arsrstepwisestratrssurv.bartsurv.pre.bartsurv.pwbartwbart