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:	0.2-9
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

Documentation:

Reference manual:	bujar.pdf
Vignettes:	Survival Prediction Using Gene Expression Data (with Results) Survival Prediction Using Gene Expression Data (without Results)

Downloads:

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

Reverse dependencies:

Reverse suggests:

mlr3proba

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