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 |
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-release: intercure_0.1.0.zip, r-oldrel: intercure_0.1.0.zip |
OS X El Capitan binaries: | r-release: intercure_0.1.0.tgz |
OS X Mavericks binaries: | r-oldrel: intercure_0.1.0.tgz |
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