dyadicMarkov: Pattern Identification for Dyadic Sequences Using Transition Matrices

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

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-03-16
DOI:	10.32614/CRAN.package.dyadicMarkov
Author:	Mattia Böllenrücher [aut, cre, cph], Mégane Bollenrucher [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
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
CRAN checks:	dyadicMarkov results

Documentation:

Reference manual:	dyadicMarkov.html , dyadicMarkov.pdf
Vignettes:	dyadicMarkov workflow (source, R code)

Downloads:

Package source:	dyadicMarkov_0.1.0.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_0.1.0.tgz, r-oldrel (arm64): dyadicMarkov_0.1.0.tgz, r-release (x86_64): dyadicMarkov_0.1.0.tgz, r-oldrel (x86_64): dyadicMarkov_0.1.0.tgz

Linking:

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