Package: BayesMortalityPlus 0.2.4

Luiz Fernando Figueiredo
BayesMortalityPlus: Bayesian Mortality Modelling
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>.
Authors:
BayesMortalityPlus_0.2.4.tar.gz
BayesMortalityPlus_0.2.4.tar.gz(r-4.5-noble)BayesMortalityPlus_0.2.4.tar.gz(r-4.4-noble)
BayesMortalityPlus_0.2.4.tgz(r-4.4-emscripten)BayesMortalityPlus_0.2.4.tgz(r-4.3-emscripten)
BayesMortalityPlus.pdf |BayesMortalityPlus.html✨
BayesMortalityPlus/json (API)
# Install 'BayesMortalityPlus' in R: |
install.packages('BayesMortalityPlus', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:148b1c74e3. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Apr 01 2025 |
R-4.5-linux | OK | Apr 01 2025 |
R-4.4-linux | OK | Apr 01 2025 |
Exports:blcdlmdlm_closeexpectancyHeatmaphphp_closehp_miximprovementplot_chain
Dependencies:clicolorspacecpp11crayondplyrfansifarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Citation
To cite package ‘BayesMortalityPlus’ in publications use:
Aplicada LdM (2024). BayesMortalityPlus: Bayesian Mortality Modelling. R package version 0.2.4, https://CRAN.R-project.org/package=BayesMortalityPlus.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {BayesMortalityPlus: Bayesian Mortality Modelling}, author = {Laboratorio de Matematica Aplicada}, year = {2024}, note = {R package version 0.2.4}, url = {https://CRAN.R-project.org/package=BayesMortalityPlus}, }