Package: CoxPlus 1.5.7

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.zip(r-4.5-x86_64)
CoxPlus_1.5.7.tgz(r-4.6-x86_64)CoxPlus_1.5.7.tgz(r-4.6-arm64)CoxPlus_1.5.7.tgz(r-4.5-x86_64)CoxPlus_1.5.7.tgz(r-4.5-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://jnpeng.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 350 downloads 1 exports 3 dependencies

Last updated from:5aa2a62dcd. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK112
source / vignettesOK221
linux-release-arm64OK97
linux-release-x86_64OK108
macos-release-arm64OK119
macos-release-x86_64OK283
macos-oldrel-arm64OK82
macos-oldrel-x86_64OK430
windows-devel-arm64OK351
windows-devel-x86_64OK158
windows-release-arm64OK349
windows-release-x86_64OK100
windows-oldrel-x86_64OK118
wasm-releaseOK99

Exports:fastCox

Dependencies:data.tableRcppRcppArmadillo