Package: mcwr 1.0.0

mcwr: Markov Chains with Rewards

In the context of multistate models, which are popular in sociology, demography, and epidemiology, Markov chain with rewards calculations can help to refine transition timings and so obtain more accurate estimates. The package code accommodates up to nine transient states and irregular age (time) intervals. Traditional demographic life tables result as a special case. Formulas and methods involved are explained in detail in the accompanying article: Schneider / Myrskyla / van Raalte (2021): Flexible Transition Timing in Discrete-Time Multistate Life Tables Using Markov Chains with Rewards, MPIDR Working Paper WP-2021-002.

Authors:Daniel Schneider [aut, cre], Mikko Myrskyla [ctb], Alyson van Raalte [ctb]

mcwr_1.0.0.tar.gz
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mcwr.pdf |mcwr.html
mcwr/json (API)

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

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 161 downloads 6 exports 0 dependencies

Last updated 4 years agofrom:a0eab72c7d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:mcwr_checkmcwr_exampledatamcwr_exitmcwr_expectanciesmcwr_genvarsmcwr_switch

Dependencies: