Package: BayesMortalityPlus
Type: Package
Title: Bayesian Mortality Modelling
Version: 1.0.0
Authors@R: c(person(given = c("Luiz", "F.", "V."), family = "Figueiredo", 
	  comment=c(ORCID="0009-0007-9002-1997"),
	  email="labmapackage@gmail.com",
		role = c("aut", "cre")),
  person(given = c("Lucas", "M.", "F."), family = "Silva",
		comment=c(ORCID="0009-0000-7452-3486"),
		role = c("aut")),
	person(given = c("Viviana", "G.", "R."), family = "Lobo",
	  email = "viviana@dme.ufrj.br", 
		comment=c(ORCID="0000-0002-4076-8327"),
		role = c("aut")),
	person(given = c("Thais", "C.", "O."), family = "Fonseca",
		comment=c(ORCID="0000-0002-4943-3259"),
		role = c("aut")),
	person(given = c("Mariane", "B."), family = "Alves",
	  comment=c(ORCID="0000-0002-2489-9300"),
		role = c("aut")))
Description: 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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: MASS, progress, tidyr, scales, utils, ggplot2, magrittr,
        dplyr, mvtnorm
RoxygenNote: 7.2.3
Collate: 'Heatmap_default.R' 'PT.R' 'USA.R' 'blc.R' 'ffbs.R' 'dlm.R'
        'gompertz_dlm.R' 'dlm_close.R' 'expectancy_blc.R'
        'expectancy_default.R' 'fitted_dlm.R' 'expectancy_dlm.R'
        'fun_aux.R' 'fitted_hp.R' 'expectancy_hp.R' 'fitted_blc.R'
        'globals.R' 'heatmap_blc.R' 'heatmap_dlm.R' 'heatmap_hp.R'
        'heatmap_list.R' 'hp_poisson_reduced.R'
        'hp_lognormal_reduced.R' 'hp_binomial_reduced.R' 'hp_poisson.R'
        'hp_lognormal.R' 'hp_binomial.R' 'hp.R' 'sir_gompertz.R'
        'hp_close.R' 'hp_mix.R' 'improvement.R' 'kd_filter.R'
        'kd_smoother.R' 'mean_blc.R' 'mean_blc_pred.R' 'plot_blc.R'
        'plot_blc_pred.R' 'plot_chain.R' 'plot_dlm.R' 'plot_hp.R'
        'plot_list.R' 'predict_blc.R' 'predict_dlm.R' 'print_blc.R'
        'print_blc_pred.R' 'print_dlm.R' 'print_hp.R' 'quantile_blc.R'
        'quantile_blc_pred.R' 'summary_dlm.R' 'summary_hp.R'
NeedsCompilation: no
Packaged: 2026-09-23 10:41:56 UTC; root
Author: Luiz F. V. Figueiredo [aut, cre] (ORCID:
        <https://orcid.org/0009-0007-9002-1997>), Lucas M. F. Silva
        [aut] (ORCID: <https://orcid.org/0009-0000-7452-3486>), Viviana
        G. R. Lobo [aut] (ORCID:
        <https://orcid.org/0000-0002-4076-8327>), Thais C. O. Fonseca
        [aut] (ORCID: <https://orcid.org/0000-0002-4943-3259>), Mariane
        B. Alves [aut] (ORCID: <https://orcid.org/0000-0002-2489-9300>)
Maintainer: Luiz F. V. Figueiredo <labmapackage@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-07-10 21:40:17 UTC
RemoteUrl: https://github.com/cran/BayesMortalityPlus
RemoteRef: HEAD
RemoteSha: 5f5bbb75e81fd9fbd4fbf52ac0cfd872b2b7e474
