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Maximum-likelihood estimation of split-population (cure / mover-stayer) survival models: an accelerated failure-time regression for event timing among "movers", combined with a logistic regression on the probability of belonging to the immune "stayer" population. Five baseline timing distributions are provided – log-logistic, Weibull, log-normal, gamma, and the generalized gamma that nests the other four – following Schmidt & Witte (1989, Journal of Econometrics) and Yamaguchi (1992, 1998, Sociological Methodology). This is an R translation of a set of 'Stata' ml programs, with the log-likelihood corrected to match the published model and verified by simulation against known parameters.
| Version: | 0.1.0 |
| Imports: | maxLik, stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-10-05 |
| DOI: | 10.32614/CRAN.package.splitpopsurv |
| Author: | Nobutaka Fukuda [aut, cre] |
| Maintainer: | Nobutaka Fukuda <nobutaka.fukuda at tohoku.ac.jp> |
| BugReports: | https://github.com/nobifukuda/splitpopsurv/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/nobifukuda/splitpopsurv |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | splitpopsurv results |
| Reference manual: | splitpopsurv.html , splitpopsurv.pdf |
| Package source: | splitpopsurv_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: splitpopsurv_0.1.0.zip |
| macOS binaries: | r-release (arm64): splitpopsurv_0.1.0.tgz, r-oldrel (arm64): splitpopsurv_0.1.0.tgz, r-release (x86_64): splitpopsurv_0.1.0.tgz, r-oldrel (x86_64): splitpopsurv_0.1.0.tgz |
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