Package: MEDseq Type: Package Date: 2025-03-10 Title: Mixtures of Exponential-Distance Models with Covariates Version: 1.4.2 Authors@R: c(person("Keefe", "Murphy", email = "keefe.murphy@mu.ie", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7709-3159")), person("Thomas Brendan", "Murphy", email = "brendan.murphy@ucd.ie", role = "ctb", comment = c(ORCID = "0000-0002-5668-7046")), person("Raffaella", "Piccarreta", email = "raffaella.piccarreta@unibocconi.it ", role = "ctb", comment = c(ORCID = "0000-0002-8876-3656")), person("Isobel Claire", "Gormley", email = "claire.gormley@ucd.ie", role = "ctb", comment = c(ORCID = "0000-0001-7713-681X"))) Description: Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2021) . A range of flexible precision parameter settings corresponding to weighted generalisations of the Hamming distance metric are considered, along with the potential inclusion of a noise component. Gating covariates can be supplied in order to relate sequences to baseline characteristics and sampling weights are also accommodated. The models are fitted using the EM algorithm and tools for visualising the results are also provided. Depends: R (>= 4.0.0) License: GPL (>= 3) Encoding: UTF-8 URL: https://cran.r-project.org/package=MEDseq BugReports: https://github.com/Keefe-Murphy/MEDseq/issues LazyData: true Language: en-GB Imports: cluster, matrixStats (>= 1.0.0), nnet (>= 7.3-0), seriation, stringdist, TraMineR (>= 2.2-10), WeightedCluster Suggests: knitr, rmarkdown, viridisLite (>= 0.4.0) RoxygenNote: 7.3.2 VignetteBuilder: knitr Config/pak/sysreqs: cmake make Repository: https://keefe-murphy.r-universe.dev Date/Publication: 2025-03-10 10:33:24 UTC RemoteUrl: https://github.com/keefe-murphy/medseq RemoteRef: HEAD RemoteSha: 6db6a3ad8239cb60f344b12c71382772d8a707a0 NeedsCompilation: no Packaged: 2026-07-03 07:39:37 UTC; root Author: Keefe Murphy [aut, cre] (ORCID: ), Thomas Brendan Murphy [ctb] (ORCID: ), Raffaella Piccarreta [ctb] (ORCID: ), Isobel Claire Gormley [ctb] (ORCID: ) Maintainer: Keefe Murphy