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:

Conda:

demographyforecasting-life-expectancylongevitymortality-forecasting

3.70 score 1 stars 8 scripts 150 downloads 1 exports 60 dependencies

Last updated 4 years agofrom:7152b92d0c. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 29 2025
R-4.5-winNOTEMar 29 2025
R-4.5-macNOTEMar 29 2025
R-4.5-linuxNOTEMar 29 2025
R-4.4-winNOTEMar 29 2025
R-4.4-macNOTEMar 29 2025
R-4.4-linuxNOTEMar 29 2025
R-4.3-winNOTEMar 29 2025
R-4.3-macNOTEMar 29 2025

Exports:DoubleGap

Dependencies:clicolorspacecrchcurlevaluatefansifarverforecastFormulafracdiffgenericsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetnumDerivordinalpbapplypillarpkgconfigquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangsandwichscalesscoringRulestibbletimeDatetseriesTTRucminfurcautf8vctrsviridisLitewithrxfunxtsyamlzoo

MortalityGaps R Package

Rendered fromManual.Rmdusingknitr::rmarkdownon Mar 29 2025.

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