Package: CoxBoost 1.5.1

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:John Zobolas [cre, aut], Harald Binder [aut]

CoxBoost_1.5.1.tar.gz
CoxBoost_1.5.1.zip(r-4.7)CoxBoost_1.5.1.zip(r-4.6)CoxBoost_1.5.1.zip(r-4.5)
CoxBoost_1.5.1.tgz(r-4.6-x86_64)CoxBoost_1.5.1.tgz(r-4.6-arm64)CoxBoost_1.5.1.tgz(r-4.5-x86_64)CoxBoost_1.5.1.tgz(r-4.5-arm64)
CoxBoost_1.5.1.tar.gz(r-4.7-arm64)CoxBoost_1.5.1.tar.gz(r-4.7-x86_64)CoxBoost_1.5.1.tar.gz(r-4.6-arm64)CoxBoost_1.5.1.tar.gz(r-4.6-x86_64)
CoxBoost_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CoxBoost/json (API)
NEWS

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

On CRAN:

Conda:

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

3.10 score 252 scripts 752 downloads 9 exports 3 dependencies

Last updated from:80c83cde4f. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK129
source / vignettesOK172
linux-release-arm64OK122
linux-release-x86_64OK129
macos-release-arm64OK146
macos-release-x86_64OK414
macos-oldrel-arm64OK92
macos-oldrel-x86_64OK274
windows-develOK127
windows-releaseOK109
windows-oldrelOK91
wasm-releaseOK109

Exports:CoxBoostcv.CoxBoostcvcb.controlestimPValiCoxBoostoptimCoxBoostPenaltyresample.CoxBooststabtrajecweightfreqmap

Dependencies:latticeMatrixsurvival