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High-Performance Open-Source Archive

CRAN: Package hmix

hmix: Hidden Markov Model for Predicting Time Sequences with Mixture Sampling

An algorithm for time series analysis that leverages hidden Markov models, cluster analysis, and mixture distributions to segment data, detect patterns and predict future sequences.

Version: 1.0.3
Depends: R (≥ 2.10)
Imports: normalp (≥ 0.7.2), glogis (≥ 1.0-2), gld (≥ 2.6.6), purrr (≥ 1.0.1), HMM (≥ 1.0.1), mc2d (≥ 0.2.0), cubature (≥ 2.1.0), dplyr (≥ 1.1.2)
Suggests: testthat (≥ 3.0.0)
Published: 2026-03-29
DOI: 10.32614/CRAN.package.hmix
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino at gmail.com>
License: GPL-3
URL: https://rpubs.com/giancarlo_vercellino/hmix
NeedsCompilation: no
Materials: NEWS
CRAN checks: hmix results

Documentation:

Reference manual: hmix.html , hmix.pdf

Downloads:

Package source: hmix_1.0.3.tar.gz
Windows binaries: r-devel: hmix_1.0.3.zip, r-release: hmix_1.0.3.zip, r-oldrel: hmix_1.0.3.zip
macOS binaries: r-release (arm64): hmix_1.0.3.tgz, r-oldrel (arm64): hmix_1.0.3.tgz, r-release (x86_64): hmix_1.0.3.tgz, r-oldrel (x86_64): hmix_1.0.3.tgz
Old sources: hmix archive

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