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.
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=splitpopsurv
to link to this page.