Package: MortalityGaps 1.0.6

MortalityGaps: The Double-Gap Life Expectancy Forecasting Model

Life expectancy is highly correlated over time among countries and between males and females. These associations can be used to improve forecasts. Here we have implemented a method for forecasting female life expectancy based on analysis of the gap between female life expectancy in a country compared with the record level of female life expectancy in the world. Second, to forecast male life expectancy, the gap between male life expectancy and female life expectancy in a country is analysed. We named this method the Double-Gap model. For a detailed description of the method see Pascariu et al. (2018). <doi:10.1016/j.insmatheco.2017.09.011>.

Authors:Marius D. Pascariu [aut, cre]

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MortalityGaps.pdf |MortalityGaps.html
MortalityGaps/json (API)
NEWS

# Install 'MortalityGaps' in R:
install.packages('MortalityGaps', repos = c('https://mpascariu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mpascariu/mortalitygaps/issues

Datasets:

On CRAN:

demographyforecasting-life-expectancylongevitymortality-forecasting

3.70 score 1 stars 8 scripts 216 downloads 1 exports 60 dependencies

Last updated 4 years agofrom:7152b92d0c. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winNOTEJan 28 2025
R-4.5-macNOTEJan 28 2025
R-4.5-linuxNOTEJan 28 2025
R-4.4-winNOTEJan 28 2025
R-4.4-macNOTEJan 28 2025
R-4.3-winNOTEJan 28 2025
R-4.3-macNOTEJan 28 2025

Exports:DoubleGap

Dependencies:clicolorspacecrchcurlevaluatefansifarverforecastFormulafracdiffgenericsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetnumDerivordinalpbapplypillarpkgconfigquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangsandwichscalesscoringRulestibbletimeDatetseriesTTRucminfurcautf8vctrsviridisLitewithrxfunxtsyamlzoo

MortalityGaps R Package

Rendered fromManual.Rmdusingknitr::rmarkdownon Jan 28 2025.

Last update: 2018-07-21
Started: 2018-07-17