Package: bujar 0.2-11

Zhu Wang

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
bujar_0.2-11.tar.gz(r-4.5-noble)bujar_0.2-11.tar.gz(r-4.4-noble)
bujar_0.2-11.tgz(r-4.4-emscripten)
bujar.pdf |bujar.html✨
bujar/json (API)
NEWS

# Install 'bujar' in R:
install.packages('bujar', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • chop - Survival of CHOP for diffuse large B cell lymphoma
  • rchop - Survival of R-CHOP for diffuse large B cell lymphoma

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

2.30 score 5 scripts 443 downloads 1 mentions 2 exports 105 dependencies

Last updated 1 years agofrom:9dbf65067d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-linuxOKNov 02 2024

Exports:bujargcv.enet

Dependencies:backportsbase64encbslibbstcachemcheckmateclasscliclustercodetoolscolorspacedata.tabledigestdoParallelearthelasticnetevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsgbmggplot2glmnetgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsinumisobanditeratorsjquerylibjsonliteknitrlabelinglarslatticelibcoinlifecyclemagrittrMASSMatrixMatrixModelsmboostmdamemoisemgcvmimemodeltoolsmpathmultcompmunsellmvtnormnlmennetnnlsnumDerivpartykitpillarpkgconfigplotmoplotrixpolsplinepsclquadprogquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrmsrpartrstudioapisandwichsassscalesshapeSparseMstabsstringistringrsurvivalTH.datatibbletinytexutf8vctrsviridisviridisLiteWeightSVMwithrxfunyamlzoo

Survival Prediction Using Gene Expression Data (with Results)

Rendered fromstatic_dlbcl.pdf.asisusingR.rsp::asison Nov 02 2024.

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

Survival Prediction Using Gene Expression Data (without Results)

Rendered fromdlbcl.Rnwusingutils::Sweaveon Nov 02 2024.

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