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survstan

0.0.7.1

Fitting Survival Regression Models via 'Stan'

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Overview

About
Maintained by Fabio DemarquiFirst published 2023-05-049 releasesCRAN page ↗GitHub ↗

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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Repository

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78 commits · Last activity 2026-04-10 · +12.5% stars, 30d

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Package Timeline

9 releases. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.0.7.1Latest
    2024-04-12 · current release · diff ↗
  • 0.0.7
    2024-03-21 · diff ↗
  • 0.0.6.1
    2024-02-05 · diff ↗
  • 0.0.6
    2024-01-18 · diff ↗
  • 0.0.5
    2023-12-18 · diff ↗
  • 0.0.4
    2023-09-21 · diff ↗
  • 0.0.3
    2023-08-09 · diff ↗
  • 0.0.2
    2023-06-09 · diff ↗
  • 0.0.1
    2023-05-04
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-05-04
Total releases
9 / 3 yrs
License
MIT + file LICENSE OSI
Download size
139 KB
Installed size
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