survstan

Fitting Survival Regression Models via 'Stan'

CRAN Package

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) ; 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.


Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends1 package
  • Imports20 packages
  • Suggests6 packages
  • Linking To6 packages
  • Reverse Suggests1 package