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, and Yang and Prentice models. Available baseline survival distributions include exponential, Weibull, log-normal, log-logistic, 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>.
Version: | 0.0.4 |
Depends: | R (≥ 3.4.0), survival |
Imports: | actuar (≥ 3.0.0), dplyr, extraDistr, ggplot2, gridExtra, MASS, methods, purrr, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), Rdpack, rlang, rstan (≥ 2.26.0), rstantools (≥ 2.3.1), tibble, tidyr |
LinkingTo: | BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0) |
Suggests: | GGally, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-09-21 |
Author: | Fabio Demarqui |
Maintainer: | Fabio Demarqui <fndemarqui at est.ufmg.br> |
BugReports: | https://github.com/fndemarqui/survstan/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/fndemarqui/survstan, https://fndemarqui.github.io/survstan/ |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Materials: | README NEWS |
CRAN checks: | survstan results |
Reference manual: | survstan.pdf |
Vignettes: |
Likelihood ratio tests with the survstan package Introduction to the R package survstan |
Package source: | survstan_0.0.4.tar.gz |
Windows binaries: | r-devel: survstan_0.0.4.zip, r-release: survstan_0.0.4.zip, r-oldrel: survstan_0.0.4.zip |
macOS binaries: | r-release (arm64): survstan_0.0.3.tgz, r-oldrel (arm64): survstan_0.0.3.tgz, r-release (x86_64): survstan_0.0.3.tgz, r-oldrel (x86_64): survstan_0.0.4.tgz |
Old sources: | survstan archive |
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