Package: survstan
Title: Fitting Survival Regression Models via 'Stan'
Version: 0.0.1
Authors@R: 
    person(given = "Fabio",
           family = "Demarqui",
           role = c("aut", "cre", "cph"),
           email = "fndemarqui@est.ufmg.br",
           comment = c(ORCID = "0000-0001-9236-1986"))
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, and accelerated hazard models. Available baseline survival distributions include exponential, Weibull, log-normal, and log-logistic distributions. References: Lawless (2002) <ISBN:9780471372158>; Bennett (1982) <doi:10.1002/sim.4780020223>; Chen and Wang(2000) <doi:10.1080/01621459.2000.10474236>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Biarch: true
Depends: R (>= 3.4.0), survival
Imports: actuar (>= 3.0.0), dplyr, ggplot2, gridExtra, methods, Rcpp
        (>= 0.12.0), RcppParallel (>= 5.0.1), Rdpack, rlang, rstan (>=
        2.18.1), rstantools (>= 2.3.1), tibble
RdMacros: Rdpack
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
URL: https://github.com/fndemarqui/survstan,
        https://fndemarqui.github.io/survstan/
BugReports: https://github.com/fndemarqui/survstan/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-03 22:17:52 UTC; fndemarqui
Author: Fabio Demarqui [aut, cre, cph]
    (<https://orcid.org/0000-0001-9236-1986>)
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>
Repository: CRAN
Date/Publication: 2023-05-04 19:10:02 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2023-05-05 11:50:01 UTC; unix
Archs: survstan.so.dSYM
