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:Laboratorio de Matematica Aplicada

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)

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10 exports 0.36 score 41 dependencies 938 downloads

Last updated 4 months agofrom:148b1c74e3. Checks:OK: 2. Indexed: yes.

Exports:blcdlmdlm_closeexpectancyHeatmaphphp_closehp_miximprovementplot_chain

Dependencies:clicolorspacecpp11crayondplyrfansifarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr