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Fit and compare the most popular human mortality laws - R package

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MortalityLaws: Parametric Mortality Models, Life Tables and HMD

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Fit the most popular human mortality laws, and construct full and abridged life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001). Function for downloading demographic data from the following sources are provided:

Installation

  1. Make sure you have the most recent version of R
  2. Run the following code in your R console
install.packages("MortalityLaws")

Updating to the latest version of the package

You can track and contribute to the development of MortalityLaws on GitHub. To install it:

  1. Install the release version of devtools from CRAN with install.packages("devtools").

  2. Make sure you have a working development environment.

    • Windows: Install Rtools.
    • Mac: Install Xcode from the Mac App Store.
    • Linux: Install a compiler and various development libraries (details vary across different flavors of Linux).
  3. Install the development version of MortalityLaws.

    devtools::install_github("mpascariu/MortalityLaws")

Help

All functions are documented in the standard way, which means that once you load the package using library(MortalityLaws) you can just type ?MortalityLaw to see the help file.

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Fit and compare the most popular human mortality laws - R package

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