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dyadicMarkov: Pattern Estimation and Identification for Dyadic Sequences Using Transition Matrices in R

Provides methods for analyzing categorical dyadic sequences using transition matrices within the Longitudinal Actor-Partner Interdependence Model and Markov-chain framework. The package supports empirical transition counts, maximum likelihood estimation of transition probabilities, and identification of univariate and bivariate patterns of interaction in dyadic sequences.

Version: 0.1.1
Depends: R (≥ 4.1.0)
Imports: stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-06-21
DOI: 10.32614/CRAN.package.dyadicMarkov
Author: Mattia Böllenrücher ORCID iD [aut, cre, cph], Mégane Bollenrücher ORCID iD [aut], Jean-Philippe Antonietti ORCID iD [aut]
Maintainer: Mattia Böllenrücher <mattia.boellenruecher at student.unisg.ch>
BugReports: https://github.com/BoellenruecherM/dyadicMarkov-public/issues
License: MIT + file LICENSE
URL: https://github.com/BoellenruecherM/dyadicMarkov-public, https://boellenruecherm.github.io/dyadicMarkov-public/
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: dyadicMarkov results

Documentation:

Reference manual: dyadicMarkov.html , dyadicMarkov.pdf
Vignettes: Bivariate dyadic workflow (source, R code)
Introduction to dyadicMarkov (source, R code)
Univariate dyadic workflow (source, R code)

Downloads:

Package source: dyadicMarkov_0.1.1.tar.gz
Windows binaries: r-devel: dyadicMarkov_0.1.1.zip, r-release: dyadicMarkov_0.1.1.zip, r-oldrel: dyadicMarkov_0.1.1.zip
macOS binaries: r-release (arm64): dyadicMarkov_0.1.1.tgz, r-oldrel (arm64): dyadicMarkov_0.1.1.tgz, r-release (x86_64): dyadicMarkov_0.1.1.tgz, r-oldrel (x86_64): dyadicMarkov_0.1.1.tgz
Old sources: dyadicMarkov archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.