Package: CoxBoost 1.5.2.9000
John Zobolas
CoxBoost: Cox Models by Likelihood Based Boosting for a Single Survival Endpoint or Competing Risks
Provides routines for fitting Cox models by likelihood based boosting for single event survival data with right censoring or in the presence of competing risks. The methodology is described in Binder and Schumacher (2008) <doi:10.1186/1471-2105-9-14> and Binder et al. (2009) <doi:10.1093/bioinformatics/btp088>.
Authors:
CoxBoost_1.5.2.9000.tar.gz
CoxBoost_1.5.2.9000.zip(r-4.7-x86_64)CoxBoost_1.5.2.9000.zip(r-4.7-arm64)CoxBoost_1.5.2.9000.zip(r-4.6-x86_64)CoxBoost_1.5.2.9000.zip(r-4.6-arm64)CoxBoost_1.5.2.9000.zip(r-4.5-x86_64)
CoxBoost_1.5.2.9000.tgz(r-4.6-x86_64)CoxBoost_1.5.2.9000.tgz(r-4.6-arm64)CoxBoost_1.5.2.9000.tgz(r-4.5-x86_64)CoxBoost_1.5.2.9000.tgz(r-4.5-arm64)
CoxBoost_1.5.2.9000.tar.gz(r-4.7-arm64)CoxBoost_1.5.2.9000.tar.gz(r-4.7-x86_64)CoxBoost_1.5.2.9000.tar.gz(r-4.6-arm64)CoxBoost_1.5.2.9000.tar.gz(r-4.6-x86_64)
CoxBoost_1.5.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CoxBoost/json (API)
| # Install 'CoxBoost' in R: |
| install.packages('CoxBoost', repos = c('https://binderh.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/binderh/coxboost/issues
Last updated from:50d5fff7d7. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 121 | ||
| linux-devel-x86_64 | OK | 130 | ||
| source / vignettes | OK | 209 | ||
| linux-release-arm64 | OK | 138 | ||
| linux-release-x86_64 | OK | 146 | ||
| macos-release-arm64 | OK | 182 | ||
| macos-release-x86_64 | OK | 292 | ||
| macos-oldrel-arm64 | OK | 156 | ||
| macos-oldrel-x86_64 | OK | 393 | ||
| windows-devel-arm64 | OK | 342 | ||
| windows-devel-x86_64 | OK | 129 | ||
| windows-release-arm64 | OK | 320 | ||
| windows-release-x86_64 | OK | 87 | ||
| windows-oldrel-x86_64 | OK | 85 | ||
| wasm-release | OK | 103 |
Exports:CoxBoostcv.CoxBoostcvcb.controlestimPValiCoxBoostoptimCoxBoostPenaltyresample.CoxBooststabtrajecweightfreqmap
