spduration: Split-Population Duration (Cure) Regression
An implementation of split-population duration regression models.
Unlike regular duration models, split-population duration models are
mixture models that accommodate the presence of a sub-population that is
not at risk for failure, e.g. cancer patients who have been cured by
treatment. This package implements Weibull and Loglogistic forms for the
duration component, and focuses on data with time-varying covariates.
These models were originally formulated in Boag (1949) and Berkson and Gage
(1952), and extended in Schmidt and Witte (1989).
Version: |
0.17.2 |
Depends: |
R (≥ 3.1.2) |
Imports: |
corpcor, graphics, forecast, MASS, stats, Rcpp (≥ 0.11.0), separationplot, xtable |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
covr, devtools, testthat, knitr, rmarkdown, tibble |
Published: |
2024-02-08 |
DOI: |
10.32614/CRAN.package.spduration |
Author: |
Andreas Beger
[aut, cre],
Daina Chiba [aut],
Daniel W. Hill, Jr. [aut],
Nils W. Metternich
[aut],
Shahryar Minhas [aut],
Michael D. Ward
[aut, cph] |
Maintainer: |
Andreas Beger <adbeger at gmail.com> |
BugReports: |
https://github.com/andybega/spduration/issues |
License: |
GPL-3 |
URL: |
https://github.com/andybega/spduration,
https://www.andybeger.com/spduration/ |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
CRAN checks: |
spduration results |
Documentation:
Downloads:
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