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: | 0.2-9 |
Depends: | R (≥ 2.10) |
Imports: | mda, mpath, mboost, gbm, earth, elasticnet, rms, methods, modeltools, bst, parallel, survival |
Suggests: | TH.data, R.rsp, gridExtra |
Published: | 2020-10-19 |
Author: | Zhu Wang <https://orcid.org/0000-0002-0773-0052> and others (see COPYRIGHTS) |
Maintainer: | Zhu Wang <wangz1 at uthscsa.edu> |
License: | GPL-2 |
Copyright: | see file COPYRIGHTS |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | Survival |
CRAN checks: | bujar results |
Reference manual: | bujar.pdf |
Vignettes: |
Survival Prediction Using Gene Expression Data (with Results) Survival Prediction Using Gene Expression Data (without Results) |
Package source: | bujar_0.2-9.tar.gz |
Windows binaries: | r-devel: bujar_0.2-9.zip, r-release: bujar_0.2-9.zip, r-oldrel: bujar_0.2-9.zip |
macOS binaries: | r-release (arm64): bujar_0.2-9.tgz, r-oldrel (arm64): bujar_0.2-9.tgz, r-release (x86_64): bujar_0.2-9.tgz, r-oldrel (x86_64): bujar_0.2-9.tgz |
Old sources: | bujar archive |
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