bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates (original) (raw)
Buckley-James regression for right-censoring survival data with high-dimensional covariates. Implementations for survival data include boosting with componentwise linear least squares, componentwise smoothing splines, regression trees and MARS. Other high-dimensional tools include penalized regression for survival data. See Wang and Wang (2010) <doi:10.2202/1544-6115.1550>.
| Version: | 0.2-11 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | mda, mpath, mboost, gbm, earth, elasticnet, rms, methods, modeltools, bst, parallel, survival |
| Suggests: | TH.data, R.rsp, gridExtra |
| Published: | 2023-06-25 |
| DOI: | 10.32614/CRAN.package.bujar |
| Author: | Zhu Wang https://orcid.org/0000-0002-0773-0052 and others (see COPYRIGHTS) |
| Maintainer: | Zhu Wang |
| License: | GPL-2 |
| Copyright: | see file |
| NeedsCompilation: | no |
| Citation: | bujar citation info |
| Materials: | |
| In views: | Survival |
| CRAN checks: | bujar results |
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