BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling

Dublin Core

Title

BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling

Description

The BayesMortalityPlus package provides a framework for modeling and predicting mortality data. The package includes tools for the construction of life tables based on Heligman-Pollard laws, and also on dynamic linear smoothers. Flexibility is available in terms of modeling so that the response variable may be modeled as Poisson, binomial or Gaussian. If temporal data is available, the package provides a Bayesian implementation for the well-known Lee-Carter model that allows for estimation, projection of mortality over time, and assessment of uncertainty of any linear or nonlinear function of parameters such as life expectancy. Illustrations are considered to show the capability of the proposed package to model mortality data.

Creator

Lucas M. F. Silva, Luiz F. V. Figueiredo, Viviana G. R. Lobo, Thais C. O. Fonseca, Mariane B. Alves

Source

https://www.jstatsoft.org/article/view/v113i09

Publisher

OJS/PKP

Date

14 JULI 2025

Contributor

FAJAR BAGUS W

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Collection

Citation

Lucas M. F. Silva, Luiz F. V. Figueiredo, Viviana G. R. Lobo, Thais C. O. Fonseca, Mariane B. Alves, “BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling,” Repository Horizon University Indonesia, accessed January 11, 2026, https://repository.horizon.ac.id/items/show/9943.