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MortalityGaps
View on CRAN: Click
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Download and install MortalityGaps package within the R console
Install from CRAN:
install.packages("MortalityGaps")
Install from Github:
library("remotes")
install_github("cran/MortalityGaps")
Install by package version:
library("remotes")
install_version("MortalityGaps", "1.0.0")
Attach the package and use:
library("MortalityGaps")
Maintained by
Marius D. Pascariu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-20
Latest Update: 2018-07-20
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).
.
How to cite:
Marius D. Pascariu (2018). MortalityGaps: The Double-Gap Life Expectancy Forecasting Model. R package version 1.0.0, https://cran.r-project.org/web/packages/MortalityGaps. Accessed 21 Nov. 2024.
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imports, suggests or enhances
Complete documentation for MortalityGaps
Functions, R codes and Examples using
the MortalityGaps R package
Some associated functions: DoubleGap . MortalityGaps.data . bp_gap.model . compute_CI . find_fitted_values . find_observed_values . find_record_ex . find_tau . onAttach . plot.predict.DoubleGap . predict.DoubleGap . prepare_data . prepare_data_for_prediction . print.DoubleGap . print.MortalityGaps.data . print.predict.DoubleGap . print.summary.DoubleGap . sex_gap.model . summary.DoubleGap .
Some associated R codes: DGM_fit.R . DGM_predict.R . Graphics.R . Utils.R . data_and_imports.R . Full MortalityGaps package functions and examples
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