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 [aut, cre, cph], Mégane Bollenrücher [aut], Jean-Philippe Antonietti [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_0.1.0.zip, r-release: dyadicMarkov_0.1.0.zip, r-oldrel: dyadicMarkov_0.1.0.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

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