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)
- Version0.0.7.1
- R version≥ 3.4.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- Last release04/12/2024
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Team
Fabio Demarqui
Andrew Johnson
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- Depends2 packages
- Imports21 packages
- Suggests6 packages
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