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survstan

Fitting Survival Regression Models via 'Stan'

v0.0.7.1 · Apr 12, 2024 · MIT + file LICENSE

Description

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>.

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NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘RcppParallel’ ‘rstantools’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘RcppParallel’ ‘rstantools’
  All declared Imports should be used.
NOTE r-oldrel-macos-arm64

installed package size

  installed size is 63.6Mb
  sub-directories of 1Mb or more:
    libs  63.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 65.0Mb
  sub-directories of 1Mb or more:
    libs  64.4Mb
NOTE r-oldrel-windows-x86_64

for GNU extensions in Makefiles

GNU make is a SystemRequirements.

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Dependency Network

Dependencies Reverse dependencies survival actuar broom doFuture dplyr extraDistr foreach future generics ggplot2 gridExtra MASS purrr Rcpp RcppParallel +6 more dependencies rsurv survstan

Version History

new 0.0.7.1 Mar 9, 2026