bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates

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: 0.2-7
Depends: R (≥ 2.10)
Imports: mda, mpath, mboost, gbm, earth, elasticnet, rms, methods, modeltools, bst, parallel, survival
Suggests: TH.data, R.rsp, gridExtra
Published: 2019-11-12
Author: Zhu Wang and others (see COPYRIGHTS)
Maintainer: Zhu Wang <wangz1 at uthscsa.edu>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Materials: NEWS
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_0.2-7.tar.gz
Windows binaries: r-devel: bujar_0.2-7.zip, r-devel-gcc8: bujar_0.2-7.zip, r-release: bujar_0.2-7.zip, r-oldrel: bujar_0.2-7.zip
OS X binaries: r-release: bujar_0.2-7.tgz, r-oldrel: bujar_0.2-7.tgz
Old sources: bujar archive


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