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.


Reference manual

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install.packages("splitpopsurv")

0.1.0 by Nobutaka Fukuda, 8 hours ago


https://github.com/nobifukuda/splitpopsurv


Report a bug at https://github.com/nobifukuda/splitpopsurv/issues


Browse source code at https://github.com/cran/splitpopsurv


Authors: Nobutaka Fukuda [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports maxLik, stats

Suggests testthat


See at CRAN