Title: Simple raw data generator based on user-specified summary
Description: MorseGen is a program for generating raw data based on
user-specified summary (descriptive) statistics. Samples based
on the supplied statistics are drawn from a normal distribution
(or, in some cases, an exponential distribution) and scaled to
match the desired descriptive statistics. Intended uses include
creating raw data that fits desired characteristics or to
replicate the results in a published study.

Packaged: 2012-06-04 15:06:14 UTC; brendanmorse

Title: Estimation and Projection of Age-Specific Mortality Rates
Author: Hana Sevcikova, Nan Li and Patrick Gerland
Description: 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>.

the Kannisto, Lee-Carter and related methods as described in

Title: Measure the Young Adult Mortality Hump
Author: Adrien Remund, Carlo G Camarda, Tim Riffe
Description: 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
Imports: HMDHFDplus, MortalitySmooth, RColorBrewer, WeightedCluster,

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.

Title: The Double-Gap Life Expectancy Forecasting Model
person("Marius D.", "Pascariu", role = c("aut", "cre"),
Maintainer: Marius D. Pascariu <rpascariu@outlook.com>
Description: 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).
Packaged: 2018-07-17 04:24:01 UTC; mpascariu