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markovMSM

0.1.3Package record

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

0packages depend
3.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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).

Changes in 0.1.3
  • Further information on the length time for computational executation of global and local tests of AUCtest function.

From inst/NEWS.Rd in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 245 wordsVignettesYes · 1 · dynamicNEWSYes · mentions 0.1.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
12
Examples that run
83%10 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
91%
Return-value docs
100%
Help pages citing references
75%

Downloads

3.2K
CRAN downloads in the past year
Rank #14,581 · ~9/day · ~263/mo
Daily download trend is not available in this view yet.
33830 days
81590 days
3.2K1 year
Compare downloads with other packages →
Also on348 r2u6 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing markovMSM adds 5 packages (3 with compiled code, 8.5 MB of source tarballs). Heaviest: data.table 5.7 MB, viridisLite 1.2 MB, mstate 900 KB.

Depends (1)
R >= 3.5.0
Imports (2)
survivalmstate
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2021)
Releases (4)

Pick two releases to compare their code metrics.

  • 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
    record
    2023-02-15 · current release · diff ↗
  • 0.1.2
    record
    2023-01-05 · diff ↗
  • 0.1.1
    record
    2022-09-29 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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