Package: intsurv 0.2.3.9000

intsurv: Integrative Survival Modeling

Contains implementations of integrative survival analysis routines, including regular 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>, regularized Cox cure rate model with elastic net penalty following Masud et al. (2018) <doi:10.1177/0962280216677748>, and Zou and Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>, and weighted concordance index for cure models proposed by Asano and Hirakawa (2017) <doi:10.1080/10543406.2017.1293082>.

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

intsurv_0.2.3.9000.tar.gz
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intsurv.pdf |intsurv.html
intsurv/json (API)
NEWS

# Install 'intsurv' in R:
install.packages('intsurv', repos = c('https://wenjie2wang.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

On CRAN:

cox-modelcure-modeldata-integrationelastic-netintegrative-coxlassosurvival-analysisuncertain-event

4.59 score 10 stars 77 scripts 187 downloads 15 exports 2 dependencies

Last updated 4 years agofrom:5a700d3a98. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

Exports:bootSecIndexcoefcox_curecox_cure_netcox_cure_net.fitcox_cure.fitiCoxphiCoxph.controliCoxph.startshowsimData4curesimData4iCoxphsummarySurvi

Dependencies:RcppRcppArmadillo