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]

MortalityGaps_1.0.6.tar.gz
MortalityGaps_1.0.6.zip(r-4.5)MortalityGaps_1.0.6.zip(r-4.4)MortalityGaps_1.0.6.zip(r-4.3)
MortalityGaps_1.0.6.tgz(r-4.4-any)MortalityGaps_1.0.6.tgz(r-4.3-any)
MortalityGaps_1.0.6.tar.gz(r-4.5-noble)MortalityGaps_1.0.6.tar.gz(r-4.4-noble)
MortalityGaps_1.0.6.tgz(r-4.4-emscripten)MortalityGaps_1.0.6.tgz(r-4.3-emscripten)
MortalityGaps.pdf |MortalityGaps.html✨
MortalityGaps/json (API)
NEWS

Peer review:

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

On CRAN:

demographyforecasting-life-expectancylongevitymortality-forecasting

1 exports 1 stars 0.73 score 60 dependencies 8 scripts 148 downloads

Last updated 3 years agofrom:7152b92d0c. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:DoubleGap

Dependencies:clicolorspacecrchcurlevaluatefansifarverforecastFormulafracdiffgenericsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetnumDerivordinalpbapplypillarpkgconfigquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangsandwichscalesscoringRulestibbletimeDatetseriesTTRucminfurcautf8vctrsviridisLitewithrxfunxtsyamlzoo