Package: bujar 0.2-11

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>.

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

bujar_0.2-11.tar.gz
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bujar_0.2-11.tgz(r-4.6-any)bujar_0.2-11.tgz(r-4.5-any)
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bujar_0.2-11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bujar/json (API)

# Install 'bujar' in R:
install.packages('bujar', repos = c('https://zhuwang46.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • chop - Survival of CHOP for diffuse large B cell lymphoma
  • rchop - Survival of R-CHOP for diffuse large B cell lymphoma

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 10 scripts 501 downloads 1 mentions 2 exports 100 dependencies

Last updated from:9dbf65067d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK183
source / vignettesOK225
linux-releaseOK161
macos-releaseOK215
macos-oldrelOK212
windows-develOK162
windows-releaseOK124
windows-oldrelOK133
wasm-releaseOK117

Exports:bujargcv.enet

Dependencies:backportsbase64encbslibbstcachemcheckmateclasscliclustercodetoolscolorspacecpp11data.tabledigestdoParallelearthelasticnetevaluatefarverfastmapfontawesomeforeachforeignFormulafsgbmggplot2glmnetgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsinumisobanditeratorsjquerylibjsonliteknitrlabelinglarslatticelibcoinlifecyclemagrittrMASSMatrixMatrixModelsmboostmdamemoisemimemodeltoolsmpathmultcompmvtnormnlmennetnnlsnumDerivpartykitplotmoplotrixpolsplinepsclquadprogquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrmsrpartrstudioapiS7sandwichsassscalesshapeSparseMstabsstringistringrstrucchangesurvivalTH.datatinytexvctrsviridisLiteWeightSVMwithrxfunyamlzoo

Survival Prediction Using Gene Expression Data (without Results)
Introduction | BJ Boosting with Linear Regression | BJ LASSO | BJ SCAD | BJ Boosting with Smoothing Splines | BJ Boosting with Regression Trees | SessionInfo
Rendered fromdlbcl.Rnwusingutils::Sweave

Last update: 2023-01-06
Started: 2015-12-19

Survival Prediction Using Gene Expression Data (with Results)
Introduction | BJ Boosting with Linear Regression | BJ LASSO | BJ SCAD | BJ Boosting with Smoothing Splines | BJ Boosting with Regression Trees | SessionInfo
Rendered fromstatic_dlbcl.pdf.asisusingR.rsp::asis

Last update: 2019-01-15
Started: 2015-12-19