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markovMSM  

Methods for Checking the Markov Condition in Multi-State Survival Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("markovMSM", "0.1.3")



Attach the package and use:
library("markovMSM")
Maintained by
Gustavo Soutinho
[Scholar Profile | Author Map]
First Published: 2021-11-23
Latest Update: 2023-02-15
Description:
The inference in multi-state models is traditionally performed under a Markov assumption that claims that past and future of the process are independent given the present state. In this package, we consider tests of the Markov assumption that are applicable to general multi-state models. Three approaches using existing methodology are considered: a simple method based on including covariates depending on the history in Cox models for the transition intensities; methods based on measuring the discrepancy of the non-Markov estimators of the transition probabilities to the Markov Aalen-Johansen estimators; and, finally, methods that were developed by considering summaries from families of log-rank statistics where patients are grouped by the state occupied of the process at a particular time point (see Soutinho G, Meira-Machado L (2021) and Titman AC, Putter H (2020) ).
How to cite:
Gustavo Soutinho (2021). markovMSM: Methods for Checking the Markov Condition in Multi-State Survival Data. R package version 0.1.3, https://cran.r-project.org/web/packages/markovMSM. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.0 (2021-11-23 09:40), 0.1.1 (2022-09-29 22:00), 0.1.2 (2023-01-05 20:40)
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Complete documentation for markovMSM
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