Package: intsurv 0.3.0

Wenjie Wang

intsurv: Integrative Survival Modeling

Contains implementations of the integrative Cox model with uncertain event times proposed by Wang, et al. (2020) <doi:10.1214/19-AOAS1287>, the regularized Cox cure rate model with uncertain event status proposed by Wang, et al. (2023) <doi:10.1007/s12561-023-09374-w>, and other survival analysis routines including the Cox cure rate model proposed by Kuk and Chen (1992) <doi:10.1093/biomet/79.3.531> via an EM algorithm proposed by Sy and Taylor (2000) <doi:10.1111/j.0006-341X.2000.00227.x>, the regularized Cox cure rate model with elastic net penalty following Masud et al. (2018) <doi:10.1177/0962280216677748>.

Authors:Wenjie Wang [aut, cre], Kun Chen [ths], Jun Yan [ths]

intsurv_0.3.0.tar.gz
intsurv_0.3.0.tar.gz(r-4.7-arm64)intsurv_0.3.0.tar.gz(r-4.7-x86_64)intsurv_0.3.0.tar.gz(r-4.6-arm64)intsurv_0.3.0.tar.gz(r-4.6-x86_64)
intsurv_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
intsurv/json (API)
NEWS

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

Bug tracker:https://github.com/wenjie2wang/intsurv/issues

Pkgdown/docs site:https://wwenjie.org

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

2.26 score 36 scripts 261 downloads 18 exports 2 dependencies

Last updated from:680f61c8ba. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK199
linux-devel-x86_64OK178
source / vignettesOK190
linux-release-arm64OK211
linux-release-x86_64OK180
wasm-releaseOK151

Exports:bootSecIndexcoefcox_curecox_cure_netcox_cure_net.fitcox_cure_net.penaltycox_cure.controlcox_cure.fitcox_cure.mstepiCoxphiCoxph.controliCoxph.startshowsimData4curesimData4iCoxphsummarySurvi

Dependencies:RcppRcppArmadillo