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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>.

Versions across snapshots

VersionRepositoryFileSize
0.0.7.1 rolling linux/jammy R-4.5 survstan_0.0.7.1.tar.gz 1006.9 KiB
0.0.7.1 rolling linux/noble R-4.5 survstan_0.0.7.1.tar.gz 1017.9 KiB
0.0.7.1 rolling source/ R- survstan_0.0.7.1.tar.gz 138.7 KiB
0.0.7.1 latest linux/jammy R-4.5 survstan_0.0.7.1.tar.gz 1006.9 KiB
0.0.7.1 latest linux/noble R-4.5 survstan_0.0.7.1.tar.gz 1017.9 KiB
0.0.7.1 latest source/ R- survstan_0.0.7.1.tar.gz 138.7 KiB
0.0.7.1 2026-04-26 source/ R- survstan_0.0.7.1.tar.gz 138.7 KiB
0.0.7.1 2026-04-23 source/ R- survstan_0.0.7.1.tar.gz 138.7 KiB
0.0.7.1 2026-04-09 windows/windows R-4.5 survstan_0.0.7.1.zip 1.2 MiB
0.0.7.1 2025-04-20 source/ R- survstan_0.0.7.1.tar.gz 138.7 KiB

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