Package: intsurv 0.3.0

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.zip(r-4.7)intsurv_0.3.0.zip(r-4.6)intsurv_0.3.0.zip(r-4.5)
intsurv_0.3.0.tgz(r-4.6-x86_64)intsurv_0.3.0.tgz(r-4.6-arm64)intsurv_0.3.0.tgz(r-4.5-x86_64)intsurv_0.3.0.tgz(r-4.5-arm64)
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://wenjie2wang.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:

data-integration survival-analysis uncertain-event openblas cpp openmp

4.69 score 9 stars 36 scripts 262 downloads 18 exports 2 dependencies

Last updated from:6ddcc84022. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	212
linux-devel-x86_64	OK	181
source / vignettes	OK	237
linux-release-arm64	OK	186
linux-release-x86_64	OK	177
macos-release-arm64	OK	130
macos-release-x86_64	OK	262
macos-oldrel-arm64	OK	185
macos-oldrel-x86_64	OK	386
windows-devel	OK	217
windows-release	OK	224
windows-oldrel	OK	184
wasm-release	OK	121

Exports:bootSe cIndex coef cox_cure cox_cure_net cox_cure_net.fit cox_cure_net.penalty cox_cure.control cox_cure.fit cox_cure.mstep iCoxph iCoxph.control iCoxph.start show simData4cure simData4iCoxph summary Survi

Dependencies:Rcpp RcppArmadillo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bayesian Information Criterion (BIC)	BIC.cox_cure BIC.cox_cure_uncer
Bayesian Information Criterion (BIC)	BIC.cox_cure_net BIC.cox_cure_net_uncer
Standard Error Estimates through Bootstrap	bootSe
Concordance Index	cIndex
Estimated Covariates Coefficients	coef,iCoxph-method coef.iCoxph
Estimated Covariate Coefficients	coef.cox_cure coef.cox_cure_uncer
Estimated Covariate Coefficients	coef.cox_cure_net coef.cox_cure_net_uncer
Cox Cure Rate Model	cox_cure cox_cure.control cox_cure.fit cox_cure.mstep
Regularied Cox Cure Rate Model with Elastic-Net Penalty	cox_cure_net cox_cure_net.fit cox_cure_net.penalty
Integrative Cox Model for Uncertain Event Times	iCoxph
An S4 Class to Represent a Fitted Integrative Cox Model	iCoxph-class
Auxiliary for Controlling iCoxph Fitting	iCoxph.control
Auxiliary for Starting iCoxph Fitting	iCoxph.start
Show Methods	show,iCoxph-method show,summary.iCoxph-method show-method
Simulate Data from Cox Cure Model with Uncertain Event Status	simData4cure
Simulated Survival Data with Uncertain Records	simData4iCoxph
Summary of a Fitted Model	summary,iCoxph-method summary.iCoxph
Summary of a Fitted Model	summary.cox_cure summary.cox_cure_uncer
An S4 Class to Represent Summary of a fitted integrative Cox model	summary.iCoxph-class
Formula Response for Survival Data With Uncertain Event Times	Survi
An S4 Class Representing Formula Response	Survi-class