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survstan  

Fitting Survival Regression Models via 'Stan'
View on CRAN: Click here


Download and install survstan package within the R console
Install from CRAN:
install.packages("survstan")

Install from Github:
library("remotes")
install_github("cran/survstan")

Install by package version:
library("remotes")
install_version("survstan", "0.0.7.1")



Attach the package and use:
library("survstan")
Maintained by
Fabio Demarqui
[Scholar Profile | Author Map]
First Published: 2023-05-04
Latest Update: 2024-02-05
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>.
How to cite:
Fabio Demarqui (2023). survstan: Fitting Survival Regression Models via 'Stan'. R package version 0.0.7.1, https://cran.r-project.org/web/packages/survstan. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0.1 (2023-05-04 21:10), 0.0.2 (2023-06-09 12:00), 0.0.3 (2023-08-09 23:00), 0.0.4 (2023-09-21 23:10), 0.0.5 (2023-12-18 14:40), 0.0.6.1 (2024-02-05 16:00), 0.0.6 (2024-01-18 12:50), 0.0.7 (2024-03-21 00:00)
Other packages that cited survstan R package
View survstan citation profile
Other R packages that survstan depends, imports, suggests or enhances
Complete documentation for survstan
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