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: |
1.0.2 |
| Depends: |
R (≥ 2.10) |
| Imports: |
normalp (≥ 0.7.2), glogis (≥ 1.0-2), gld (≥ 2.6.6), edfun (≥ 0.2.0), 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: |
2024-09-10 |
| 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:
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