Package: StanMoMo
Title: Bayesian Mortality Modelling with 'Stan'
Version: 1.2.0
Authors@R: c(person(given = "Karim", family = "Barigou", role = c("aut", "cre"), email = "karim290492@gmail.com",comment = c(ORCID = "0000-0003-3389-9596")),
    person(given = "Pierre-Olivier", family = "Goffard",role="aut",comment = c(ORCID = "0000-0002-2667-6207")))
Description: Implementation of popular mortality models using the 'rstan' 
    package, which provides the R interface to the 'Stan' C++ library for 
    Bayesian estimation. The package supports well-known models proposed in the 
    actuarial and demographic literature including the Lee-Carter (1992) 
    <doi:10.1080/01621459.1992.10475265> and the Cairns-Blake-Dowd (2006) 
    <doi:10.1111/j.1539-6975.2006.00195.x> models. By a simple call, the user 
    inputs deaths and exposures and the package outputs the MCMC simulations for
    each parameter, the log likelihoods and predictions. Moreover, the package 
    includes tools for model selection and Bayesian model averaging by leave 
    future-out validation.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Biarch: true
Depends: R (>= 3.5.0)
Imports: loo, methods, RcppParallel, Rcpp (>= 0.12.0), rstan (>=
        2.26.0), rstantools (>= 2.0.0), tidyverse, dplyr, tibble, httr,
        bridgesampling, stats, utils, tidyselect, latex2exp, tidyr,
        ggplot2
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        rstan (>= 2.26.0), StanHeaders (>= 2.26.0), RcppParallel
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, shinystan, Cairo
VignetteBuilder: knitr
URL: https://github.com/kabarigou/StanMoMo
BugReports: https://github.com/kabarigou/StanMoMo/issues
NeedsCompilation: yes
Packaged: 2023-09-23 19:52:51 UTC; Karim Barigou
Author: Karim Barigou [aut, cre] (<https://orcid.org/0000-0003-3389-9596>),
  Pierre-Olivier Goffard [aut] (<https://orcid.org/0000-0002-2667-6207>)
Maintainer: Karim Barigou <karim290492@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-23 21:10:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-04-14 04:44:20 UTC; windows
Archs: x64
