Package: DBHC
Type: Package
Title: Sequence Clustering with Discrete-Output HMMs
Version: 0.0.3
Date: 2022-12-21
Author: Gabriel Budel [aut, cre], Flavius Frasincar [aut]
Maintainer: Gabriel Budel <gabysp_budel@hotmail.com>
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 (>= 1.0.8), TraMineR (>= 2.0-7), reshape2 (>= 1.2.1),
        ggplot2 (>= 2.2.1), methods (>= 4.2.2)
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Packaged: 2022-12-22 07:49:05 UTC; gabys
Date/Publication: 2022-12-22 13:10:15 UTC
Built: R 4.2.3; ; 2023-11-15 02:52:30 UTC; unix
