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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NEWS

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

Peer review:

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

Datasets:

On CRAN:

demographyforecasting-life-expectancylongevitymortality-forecasting

3.70 score 1 stars 8 scripts 105 downloads 1 exports 60 dependencies

Last updated 4 years agofrom:7152b92d0c. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:DoubleGap

Dependencies:clicolorspacecrchcurlevaluatefansifarverforecastFormulafracdiffgenericsggplot2gluegtablehighrisobandjsonliteknitrlabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetnumDerivordinalpbapplypillarpkgconfigquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangsandwichscalesscoringRulestibbletimeDatetseriesTTRucminfurcautf8vctrsviridisLitewithrxfunxtsyamlzoo

MortalityGaps R Package

Rendered fromManual.Rmdusingknitr::rmarkdownon Oct 30 2024.

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