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.


Reference manual

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install.packages("dyadicMarkov")

0.1.3 by Mattia Böllenrücher, 20 days ago


https://github.com/BoellenruecherM/dyadicMarkov-public, https://boellenruecherm.github.io/dyadicMarkov-public/


Report a bug at https://github.com/BoellenruecherM/dyadicMarkov-public/issues


Browse source code at https://github.com/cran/dyadicMarkov


Authors: Mattia Böllenrücher [aut, cre, cph] (ORCID: , Mégane Bollenrücher [aut] (ORCID: , Jean-Philippe Antonietti [aut] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats

Suggests testthat, knitr, rmarkdown, srr


See at CRAN