CRAN/E | bujar

bujar

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

Installation

About

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.

Citation bujar citation info
Copyright see file COPYRIGHTS

Key Metrics

Version 0.2-11
R ≥ 3.5.0
Published 2023-06-25 278 days ago
Needs compilation? no
License GPL-2
CRAN checks bujar results

Downloads

Yesterday 34 0%
Last 7 days 64 -20%
Last 30 days 382 -14%
Last 90 days 1.393 +16%
Last 365 days 5.257 -14%

Maintainer

Maintainer

Zhu Wang

zwang145@uthsc.edu

Authors

Zhu Wang <https://orcid.org/0000-0002-0773-0052>
others

(see COPYRIGHTS)

Material

NEWS
Reference manual
Package source

In Views

Survival

Vignettes

Survival Prediction Using Gene Expression Data (with Results)
Survival Prediction Using Gene Expression Data (without Results)

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bujar archive

Depends

R ≥ 3.5.0

Imports

mda
mpath
mboost
gbm
earth
elasticnet
rms
methods
modeltools
bst
parallel
survival

Suggests

TH.data
R.rsp
gridExtra