survstan: Fitting Survival Regression Models via 'Stan'

Parametric survival regression models under the maximum likelihood approach via 'Stan'. Implemented regression models include accelerated failure time models, proportional hazards models, proportional odds models, accelerated hazard models, Yang and Prentice models, and extended hazard models. Available baseline survival distributions include exponential, Weibull, log-normal, log-logistic, gamma, generalized gamma, rayleigh, Gompertz and fatigue (Birnbaum-Saunders) distributions. References: Lawless (2002) <ISBN:9780471372158>; Bennett (1982) <doi:10.1002/sim.4780020223>; Chen and Wang(2000) <doi:10.1080/01621459.2000.10474236>; Demarqui and Mayrink (2021) <doi:10.1214/20-BJPS471>.

Package details

AuthorFabio Demarqui [aut, cre, cph] (<>), Andrew Johnson [ctb]
MaintainerFabio Demarqui <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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survstan documentation built on May 29, 2024, 8:41 a.m.