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.

Version: 1.0.0
Depends: R (≥ 3.6.0)
Published: 2021-03-10
Author: Daniel Schneider [aut, cre], Mikko Myrskyla [ctb], Alyson van Raalte [ctb]
Maintainer: Daniel Schneider <schneider at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: mcwr citation info
CRAN checks: mcwr results


Reference manual: mcwr.pdf


Package source: mcwr_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mcwr_1.0.0.tgz, r-oldrel (arm64): mcwr_1.0.0.tgz, r-release (x86_64): mcwr_1.0.0.tgz, r-oldrel (x86_64): mcwr_1.0.0.tgz


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