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mcwr  

Markov Chains with Rewards
View on CRAN: Click here


Download and install mcwr package within the R console
Install from CRAN:
install.packages("mcwr")

Install from Github:
library("remotes")
install_github("cran/mcwr")

Install by package version:
library("remotes")
install_version("mcwr", "1.0.0")



Attach the package and use:
library("mcwr")
Maintained by
Daniel Schneider
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-10
Latest Update: 2021-03-10
Description:
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.
How to cite:
Daniel Schneider (2021). mcwr: Markov Chains with Rewards. R package version 1.0.0, https://cran.r-project.org/web/packages/mcwr. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for mcwr
Functions, R codes and Examples using the mcwr R package
Some associated functions: mcwr . mcwr_check . mcwr_exampledata . mcwr_exit . mcwr_expectancies . mcwr_genvars . mcwr_switch . 
Some associated R codes: mcwr.R . mcwr_pkghelp.R .  Full mcwr package functions and examples
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