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Description

Parametric Mortality Models, Life Tables and HMD.

Fit the most popular human mortality 'laws', and construct full and abridge 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) <doi:10.1007/0-306-47562-6_1>. Practical functions for downloading data from various human mortality databases are provided as well.

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.

Metadata

Version

2.1.0

License

Unknown

Platforms (75)

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