Package: splitpopsurv 0.1.0
splitpopsurv: Split-Population (Cure / Mover-Stayer) Survival Models
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.
Authors:
splitpopsurv_0.1.0.tar.gz
splitpopsurv_0.1.0.zip(r-4.7-any)splitpopsurv_0.1.0.zip(r-4.6-any)splitpopsurv_0.1.0.zip(r-4.5-any)
splitpopsurv_0.1.0.tgz(r-4.6-any)splitpopsurv_0.1.0.tgz(r-4.5-any)
splitpopsurv_0.1.0.tar.gz(r-4.7-any)splitpopsurv_0.1.0.tar.gz(r-4.6-any)
splitpopsurv_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
splitpopsurv/json (API)
| # Install 'splitpopsurv' in R: |
| install.packages('splitpopsurv', repos = c('https://nobifukuda.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nobifukuda/splitpopsurv/issues
Last updated from:8a7d463c09. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 102 | ||
| source / vignettes | OK | 176 | ||
| linux-release | OK | 97 | ||
| macos-release | OK | 133 | ||
| macos-oldrel | OK | 151 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 59 | ||
| windows-oldrel | OK | 55 | ||
| wasm-release | OK | 93 |
Exports:fit_splitpop_gammafit_splitpop_ggammafit_splitpop_loglogisticfit_splitpop_lognormalfit_splitpop_weibullloglik_splitpop_gammaloglik_splitpop_ggammaloglik_splitpop_loglogisticloglik_splitpop_lognormalloglik_splitpop_weibull
Dependencies:digestgenericslatticemaxLikmiscToolssandwichzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a split-population gamma survival model | fit_splitpop_gamma |
| Fit a split-population generalized gamma survival model | fit_splitpop_ggamma |
| Fit a split-population log-logistic survival model | fit_splitpop_loglogistic |
| Fit a split-population log-normal survival model | fit_splitpop_lognormal |
| Fit a split-population Weibull survival model | fit_splitpop_weibull |
| Log-likelihood: split-population gamma model | loglik_splitpop_gamma |
| Log-likelihood: split-population generalized gamma model | loglik_splitpop_ggamma |
| Log-likelihood: split-population log-logistic model | loglik_splitpop_loglogistic |
| Log-likelihood: split-population log-normal model | loglik_splitpop_lognormal |
| Log-likelihood: split-population Weibull model | loglik_splitpop_weibull |