The Double-Gap Life Expectancy Forecasting Model R package MortalityGaps version 1.0.7 CRAN Task View: ActuarialScience (https://CRAN.R-project.org/view=ActuarialScience) 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>. Software Depends: R (>= 3.4.0) Imports: forecast (>= 8.4), MASS (>= 7.3), crch (>= 1.0), pbapply (>= 1.3), Rdpack (>= 0.9-0) Suggests: MortalityLaws (>= 1.6.0), knitr (>= 1.20), rmarkdown (>= 1.10), testthat (>= 2.0.0), covr (>= 3.1.0) Marius D. Pascariu <rpascariu@outlook.com> Comprehensive R Archive Network (CRAN) Marius D. Pascariu [aut, cre] (ORCID: <https://orcid.org/0000-0002-2568-6489>) GPL-3 2025-04-02 application/tgz https://CRAN.R-project.org/package=MortalityGaps doi:10.32614/CRAN.package.MortalityGaps