Package: CoxPlus 1.5.7

Jing Peng

CoxPlus: Cox Regression (Proportional Hazards Model) with Multiple Causes and Mixed Effects

Extends the Cox model to events with more than one causes. Also supports random and fixed effects, tied events, and time-varying variables. Model details are provided in Peng et al. (2018) <doi:10.1509/jmr.14.0643>.

Authors:Jing Peng [aut, cre]

CoxPlus_1.5.7.tar.gz
CoxPlus_1.5.7.zip(r-4.7-x86_64)CoxPlus_1.5.7.zip(r-4.7-arm64)CoxPlus_1.5.7.zip(r-4.6-x86_64)CoxPlus_1.5.7.zip(r-4.6-arm64)
CoxPlus_1.5.7.tar.gz(r-4.7-arm64)CoxPlus_1.5.7.tar.gz(r-4.7-x86_64)CoxPlus_1.5.7.tar.gz(r-4.6-arm64)CoxPlus_1.5.7.tar.gz(r-4.6-x86_64)
CoxPlus_1.5.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CoxPlus/json (API)

# Install 'CoxPlus' in R:
install.packages('CoxPlus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

openblascpp

1.00 score 1 scripts 334 downloads 1 exports 3 dependencies

Last updated from:5aa2a62dcd. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK96
linux-devel-x86_64OK117
source / vignettesOK228
linux-release-arm64OK132
linux-release-x86_64OK122
windows-devel-arm64OK232
windows-devel-x86_64OK149
windows-release-arm64OK207
windows-release-x86_64OK119
wasm-releaseOK104

Exports:fastCox

Dependencies:data.tableRcppRcppArmadillo