Package: dyadicMarkov Type: Package Title: Pattern Estimation and Identification for Dyadic Sequences Using Transition Matrices in R Version: 0.1.3.9000 Authors@R: c( person("Mattia", "Böllenrücher", email = "mboellenruec@student.ethz.ch", role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0004-4149-4745")), person("Mégane", "Bollenrücher", role = "aut", comment = c(ORCID = "0000-0002-9035-8799")), person("Jean-Philippe", "Antonietti", role = "aut", comment = c(ORCID = "0000-0003-0117-4769"))) Description: 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. License: MIT + file LICENSE URL: https://github.com/BoellenruecherM/dyadicMarkov-public, https://boellenruecherm.github.io/dyadicMarkov-public/ BugReports: https://github.com/BoellenruecherM/dyadicMarkov-public/issues Encoding: UTF-8 Language: en-US Depends: R (>= 4.1.0) Imports: stats Suggests: testthat (>= 3.0.0), knitr, rmarkdown, srr VignetteBuilder: knitr Roxygen: list(markdown = TRUE, roclets = c("namespace", "rd", "srr::srr_stats_roclet")) Config/testthat/edition: 3 LazyData: true Config/roxygen2/version: 8.0.0 Repository: https://ropensci-staging.r-universe.dev Date/Publication: 2026-09-21 06:56:38 UTC RemoteUrl: https://github.com/BoellenruecherM/dyadicMarkov-public RemoteRef: ropensci-review-refinements RemoteSha: 96bd1d421b7b3e1ec4ac079c1b8feb04c18b1d16 NeedsCompilation: no Packaged: 2026-09-21 12:55:24 UTC; root Author: Mattia Böllenrücher [aut, cre, cph] (ORCID: ), Mégane Bollenrücher [aut] (ORCID: ), Jean-Philippe Antonietti [aut] (ORCID: ) Maintainer: Mattia Böllenrücher