Package: MortalityGaps 1.0.7

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]

MortalityGaps_1.0.7.tar.gz
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MortalityGaps_1.0.7.tgz(r-4.6-any)MortalityGaps_1.0.7.tgz(r-4.5-any)
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manual.pdf |manual.html✨
card.svg |card.png
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:

Conda:

demographyforecasting-life-expectancylongevitymortality-forecasting

4.32 score 3 stars 14 scripts 229 downloads 1 exports 48 dependencies

Last updated from:69daa01364. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK166
source / vignettesOK194
linux-release-x86_64OK162
macos-release-arm64OK103
macos-oldrel-arm64OK151
windows-develOK125
windows-releaseOK129
windows-oldrelOK101
wasm-releaseOK124

Exports:DoubleGap

Dependencies:clicolorspacecpp11crchevaluatefarverforecastFormulafracdiffgenericsggplot2gluegtablehighrisobandknitrlabelinglatticelifecyclelmtestmagrittrMASSMatrixnlmennetnumDerivordinalpbapplyR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7sandwichscalesscoringRulestimeDateucminfurcavctrsviridisLitewithrxfunyamlzoo

MortalityGaps R Package

Marius Pascariu

Rendered fromManual.Rmdusingknitr::rmarkdownon May 11 2026.

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