StMoMo : An R Package for Stochastic Mortality Modeling
In this paper we mirror the framework of generalized (non-)linear models to define the family of generalized age-period-cohort stochastic mortality models which encompasses the vast majority of stochastic mortality projection models proposed to date, including the well-known Lee-Carter and Cairns-Bl...
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Veröffentlicht in: | Journal of statistical software 2018-04, Vol.84 (3), p.1-38 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper we mirror the framework of generalized (non-)linear models to define the family of generalized age-period-cohort stochastic mortality models which encompasses the vast majority of stochastic mortality projection models proposed to date, including the well-known Lee-Carter and Cairns-Blake-Dowd models. We also introduce the R package StMoMo which exploits the unifying framework of the generalized age-period-cohort family to provide tools for fitting stochastic mortality models, assessing their goodnessof-fit and performing mortality projections. We illustrate some of the capabilities of the package by performing a comparison of several stochastic mortality models applied to the England and Wales population. |
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ISSN: | 1548-7660 1548-7660 |
DOI: | 10.18637/jss.v084.i03 |