Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques | Mazza | Journal of Statistical Software
Authors: Angelo Mazza, Antonio Punzo
Title: DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques
Abstract: We introduce the R package DBKGrad, conceived to facilitate the use of kernel smoothing in graduating mortality rates. The package implements univariate and bivariate adaptive discrete beta kernel estimators. Discrete kernels have been preferred because, in this context, variables such as age, calendar year and duration, are pragmatically considered as discrete and the use of beta kernels is motivated since it reduces boundary bias. Furthermore, when data on exposures to the risk of death are available, the use of adaptive bandwidth, that may be selected by cross-validation, can provide additional benefits. To exemplify the use of the package, an application to Italian mortality rates, for different ages and calendar years, is presented.

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Paper: DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques     Download PDF (Downloads: 2255)
Supplements:
DBKGrad_1.5.tar.gz: R source package Download (Downloads: 353; 85KB)
v57c02.R: R example code from the paper Download (Downloads: 339; 908B)

DOI: 10.18637/jss.v057.c02

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Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.