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BayesMoFo  

Bayesian Mortality Forecasting
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesMoFo", "0.1.0")



Attach the package and use:
library("BayesMoFo")
Maintained by
Jackie Siaw Tze Wong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-14
Latest Update: 2025-07-14
Description:
Carry out Bayesian estimation and forecasting for a variety of stochastic mortality models using vague prior distributions. Models supported include numerous well-established approaches introduced in the actuarial and demographic literature, such as the Lee-Carter (1992) <doi:10.1080/01621459.1992.10475265>, the Cairns-Blake-Dowd (2009) <doi:10.1080/10920277.2009.10597538>, the Li-Lee (2005) <doi:10.1353/dem.2005.0021>, and the Plat (2009) <doi:10.1016/j.insmatheco.2009.08.006> models. The package is designed to analyse stratified mortality data structured as a 3-dimensional array of dimensions p × A × T (strata × age × year). Stratification can represent factors such as cause of death, country, deprivation level, sex, geographic region, insurance product, marital status, socioeconomic group, or smoking behavior. While the primary focus is on analysing stratified data (p > 1), the package can also handle mortality data that are not stratified (p = 1). Model selection via the Deviance Information Criterion (DIC) is supported.
How to cite:
Jackie Siaw Tze Wong (2025). BayesMoFo: Bayesian Mortality Forecasting. R package version 0.1.0, https://cran.r-project.org/web/packages/BayesMoFo. Accessed 09 Mar. 2026.
Previous versions and publish date:
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Complete documentation for BayesMoFo
Functions, R codes and Examples using the BayesMoFo R package
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