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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 |
| Reference manual: | hmix.pdf |
| Package source: | hmix_1.0.2.tar.gz |
| Windows binaries: | r-devel: hmix_1.0.2.zip, r-release: hmix_1.0.2.zip, r-oldrel: hmix_1.0.2.zip |
| macOS binaries: | r-release (arm64): hmix_1.0.2.tgz, r-oldrel (arm64): hmix_1.0.2.tgz, r-release (x86_64): hmix_1.0.2.tgz, r-oldrel (x86_64): hmix_1.0.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.