MortalityLaws: 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.

Version: 1.8.1
Depends: R (≥ 3.0.0)
Imports: minpack.lm (≥ 1.2), RCurl (≥ 1.95), pbapply (≥ 1.3-4), tidyr (≥ 0.8.1)
Suggests: testthat, knitr, rmarkdown
Published: 2019-11-07
Author: Marius D. Pascariu ORCID iD [aut, cre, cph], Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu at outlook.com>
BugReports: https://github.com/mpascariu/MortalityLaws/issues
License: MIT + file LICENSE
URL: https://github.com/mpascariu/MortalityLaws
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MortalityLaws results

Downloads:

Reference manual: MortalityLaws.pdf
Vignettes: Installation
Intro
Package source: MortalityLaws_1.8.1.tar.gz
Windows binaries: r-devel: MortalityLaws_1.8.1.zip, r-release: MortalityLaws_1.8.1.zip, r-oldrel: MortalityLaws_1.8.0.zip
OS X binaries: r-release: MortalityLaws_1.8.1.tgz, r-oldrel: MortalityLaws_1.8.1.tgz
Old sources: MortalityLaws archive

Reverse dependencies:

Reverse suggests: ungroup

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