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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.
Version: | 1.2.0 |
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 |
Suggests: | knitr, rmarkdown, shinystan, Cairo |
Published: | 2023-09-23 |
DOI: | 10.32614/CRAN.package.StanMoMo |
Author: | Karim Barigou [aut, cre], Pierre-Olivier Goffard [aut] |
Maintainer: | Karim Barigou <karim290492 at gmail.com> |
BugReports: | https://github.com/kabarigou/StanMoMo/issues |
License: | GPL-3 |
URL: | https://github.com/kabarigou/StanMoMo |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Materials: | README NEWS |
In views: | ActuarialScience |
CRAN checks: | StanMoMo results |
Reference manual: | StanMoMo.pdf |
Vignettes: |
Bayesian Mortality Modeling Bayesian Model Averaging |
Package source: | StanMoMo_1.2.0.tar.gz |
Windows binaries: | r-devel: StanMoMo_1.2.0.zip, r-release: StanMoMo_1.2.0.zip, r-oldrel: StanMoMo_1.2.0.zip |
macOS binaries: | r-release (arm64): StanMoMo_1.2.0.tgz, r-oldrel (arm64): StanMoMo_1.2.0.tgz, r-release (x86_64): StanMoMo_1.2.0.tgz, r-oldrel (x86_64): StanMoMo_1.2.0.tgz |
Old sources: | StanMoMo archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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