BayesMortalityPlus
1.0.0Bayesian Mortality Modelling
Overview
Fit Bayesian graduation mortality using the Heligman-Pollard model, as seen in Heligman, L., & Pollard, J. H. (1980) doi:10.1017/S0020268100040257 and Dellaportas, Petros, et al. (2001) doi:10.1111/1467-985X.00202, and dynamic linear model (Campagnoli, P., Petris, G., and Petrone, S. (2009) doi:10.1007/b135794_2). While Heligman-Pollard has parameters with a straightforward interpretation yielding some rich analysis, the dynamic linear model provides a very flexible adjustment of the mortality curves by controlling the discount factor value. Closing methods for both Heligman-Pollard and dynamic linear model were also implemented according to Dodd, Erengul, et al. (2018) https://www.jstor.org/stable/48547511. The Bayesian Lee-Carter model is also implemented to fit historical mortality tables time series to predict the mortality in the following years and to do improvement analysis, as seen in Lee, R. D., & Carter, L. R. (1992) doi:10.1080/01621459.1992.10475265 and Pedroza, C. (2006) doi:10.1093/biostatistics/kxj024. Journal publication available at doi:10.18637/jss.v113.i09.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 87%
- Return-value docs
- 100%
- References docs
- 18%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-05-09
- Total releases
- 6 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 228 KB / 2 files
- Download size
- 312 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet