Estimation and Projection of Age-Specific Mortality Rates
Hana Sevcikova, Nan Li and Patrick Gerland
Age-specific mortality rates are estimated and projected using
the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.

Age-specific mortality rates are estimated and projected using
the Kannisto, Lee-Carter and related methods as described in
Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.

Adrien Remund, Carlo G Camarda, Tim Riffe
Fit diverse models of mortality graduation, parametric or not, in
order to isolate the hump that is often observed in the age-specific death rates
during adolescence and early adulthood in human populations. Can handle either
all-cause or cause-specific data.
HMDHFDplus, MortalitySmooth, RColorBrewer, WeightedCluster,
demography, minpack.lm, Matrix

Fit diverse models of mortality graduation, parametric or not, in
order to isolate the hump that is often observed in the age-specific death rates
during adolescence and early adulthood in human populations. Can handle either
all-cause or cause-specific data. A description of the methods used can be found in     Remund A., Camarda C. and Riffe T. (2018) Analyzing the Young Adult Mortality Hump in     R with MortHump. MPIDR Technical Report TR-2018-3.
HMDHFDplus, MortalitySmooth, RColorBrewer, WeightedCluster,
demography, minpack.lm, svcm, Matrix

The Double-Gap Life Expectancy Forecasting Model
c(
person("Marius D.", "Pascariu", role = c("aut", "cre"),
email = "rpascariu@outlook.com"))
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. (2017).
<doi:10.1016/j.insmatheco.2017.09.011>.