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.