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markovMSM

0.1.3

Methods for Checking the Markov Condition in Multi-State Survival Data

0packages depend
3.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Gustavo SoutinhoFirst published 2021-11-234 releasesCRAN page ↗

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) doi:10.1007/s00180-021-01139-7 and Titman AC, Putter H (2020) doi:10.1093/biostatistics/kxaa030).

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-06-08
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 245 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
91%
Return-value docs
100%
References docs
75%

Downloads

3.1K
CRAN downloads in the past year
Rank #14,461 · ~8/day · ~256/mo
Daily download trend is not available in this view yet.
16030 days
71690 days
3.1K1 year
Compare downloads with other packages →
Also on388 r2u11 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (2)
survivalmstate
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.3Latest
    2023-02-15 · current release · diff ↗
  • 0.1.2
    2023-01-05 · diff ↗
  • 0.1.1
    2022-09-29 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    2021-11-23
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-23
Total releases
4 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
52 KB / 3 files
Download size
88 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("markovMSM")
Soutinho, G., & Meira-Machado, L. (2023). markovMSM: Methods for Checking the Markov Condition in Multi-State Survival Data (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.markovMSM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for markovMSM version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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