Package: DemoDecomp 1.14.1

DemoDecomp: Decompose Demographic Functions

Three general demographic decomposition methods: Pseudo-continuous decomposition proposed by Horiuchi, Wilmoth, and Pletcher (2008) <doi:10.1353/dem.0.0033>, stepwise replacement decomposition proposed by Andreev, Shkolnikov and Begun (2002) <doi:10.4054/DemRes.2002.7.14>, and lifetable response experiments proposed by Caswell (1989) <doi:10.1016/0304-3800(89)90019-7>.

Authors:Tim Riffe [aut, cre]

DemoDecomp_1.14.1.tar.gz
DemoDecomp_1.14.1.zip(r-4.5)DemoDecomp_1.14.1.zip(r-4.4)DemoDecomp_1.14.1.zip(r-4.3)
DemoDecomp_1.14.1.tgz(r-4.5-any)DemoDecomp_1.14.1.tgz(r-4.4-any)DemoDecomp_1.14.1.tgz(r-4.3-any)
DemoDecomp_1.14.1.tar.gz(r-4.5-noble)DemoDecomp_1.14.1.tar.gz(r-4.4-noble)
DemoDecomp_1.14.1.tgz(r-4.4-emscripten)DemoDecomp_1.14.1.tgz(r-4.3-emscripten)
DemoDecomp.pdf |DemoDecomp.html
DemoDecomp/json (API)
NEWS

# Install 'DemoDecomp' in R:
install.packages('DemoDecomp', repos = c('https://timriffe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/timriffe/demodecomp/issues

Datasets:
  • Mxc1 - Year 2002 death rates by cause for US males in abridged age classes
  • Mxc2 - Year 2002 death rates by cause for England and Wales males in abridged age classes
  • rates1 - Fake data generated for horiuchi example.
  • rates2 - Fake data generated for horiuchi example.

On CRAN:

Conda:

3.99 score 4 stars 49 scripts 261 downloads 7 exports 3 dependencies

Last updated 6 months agofrom:4642ec5272. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 21 2025
R-4.5-winNOTEFeb 21 2025
R-4.5-macNOTEFeb 21 2025
R-4.5-linuxNOTEFeb 21 2025
R-4.4-winOKFeb 21 2025
R-4.4-macOKFeb 21 2025
R-4.3-winOKFeb 21 2025
R-4.3-macOKFeb 21 2025

Exports:horiuchiLTabrltreMxc2e0abrMxc2e0abrvecR0vecstepwise_replacement

Dependencies:numDerivrbibutilsRdpack