Package: DBHC
Type: Package
Title: Sequence Clustering with Discrete-Output HMMs
Version: 0.0.4
Date: 2026-07-24
Authors@R: c(
    person("Gabriel", "Budel", role = c("aut", "cre"),
           email = "gabysp_budel@hotmail.com"),
    person("Flavius", "Frasincar", role = "aut"))
Description: Provides an implementation of a mixture of hidden Markov models
    (HMMs) for discrete sequence data in the Discrete Bayesian HMM Clustering
    (DBHC) algorithm. The DBHC algorithm is an HMM Clustering
    algorithm that finds a mixture of discrete-output HMMs while using
    heuristics based on Bayesian Information Criterion (BIC) to search for the
    optimal number of HMM states and the optimal number of clusters.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/gabybudel/DBHC
BugReports: https://github.com/gabybudel/DBHC/issues
Imports: seqHMM (>= 2.0.0), TraMineR (>= 2.0-7), reshape2 (>= 1.2.1),
        ggplot2 (>= 2.2.1), rlang (>= 0.4.0), methods (>= 4.2.2)
NeedsCompilation: no
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
Packaged: 2026-07-24 16:59:17 UTC; gabybudel
Author: Gabriel Budel [aut, cre],
  Flavius Frasincar [aut]
Maintainer: Gabriel Budel <gabysp_budel@hotmail.com>
Repository: CRAN
Date/Publication: 2026-07-24 18:20:02 UTC
