intercure: Cure Rate Estimators for Interval Censored Data

Implementations of semiparametric cure rate estimators for interval censored data in R. The algorithms are based on the promotion time and frailty models, all for interval censoring. For the frailty model, there is also a implementation contemplating clustered data.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: foreach, survival, MASS, stats4, Matrix, iterators, parallel
Suggests: testthat, knitr, rmarkdown, doParallel
Published: 2016-01-12
Author: Julio Brettas [aut, cre]
Maintainer: Julio Brettas <jbrettas at ime.usp.br>
BugReports: https://github.com/JBrettas/intercure/issues
License: GPL-2 | GPL-3
URL: https://github.com/JBrettas/intercure
NeedsCompilation: no
In views: Survival
CRAN checks: intercure results

Downloads:

Reference manual: intercure.pdf
Vignettes: Vignette Title
Package source: intercure_0.1.0.tar.gz
Windows binaries: r-devel: intercure_0.1.0.zip, r-devel-gcc8: intercure_0.1.0.zip, r-release: intercure_0.1.0.zip, r-oldrel: intercure_0.1.0.zip
OS X binaries: r-release: intercure_0.1.0.tgz, r-oldrel: intercure_0.1.0.tgz

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