Bayes mortality: a package in R for bayesian graduation of mortality rates
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2022
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We present an R package to adjust and visualize the Heligman-Pollard law via Bayesian approach through Monte Carlo Markov chain techniques. We also present an option to fit a reduced model as well as different closing methods to the mortality graduation. The pack age provides useful tools in order to estimate the parameters of models, plot the mortality curve, and compute some quantities related to life tables for Heligman-Pollard law consid ering three distinct response variables for mortality. Therefore, mortality measurement at advanced ages and extrapolation are considered. Analysis of mortality rates is considered using the Human Mortality Dataset to show the applications of functions to graduation. Furthermore, the functions provided by the package could be adaptable by the user.