Construct a Hidden Markov Model with states learnt by unsupervised classification.
| Version: | 1.0 |
| Depends: | R (≥ 3.0.0), stats, grDevices |
| Imports: | tcltk, tcltk2, tkrplot, HMM, clValid, class, cluster, FactoMineR, corrplot, chron |
| Published: | 2016-04-22 |
| Author: | Emilie POISSON-CAILLAULT [aut], Paul TERNYNCK [aut, cre] |
| Maintainer: | Paul TERNYNCK <ternynck at lisic.univ-littoral.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | uHMM results |
| Reference manual: | uHMM.pdf |
| Package source: | uHMM_1.0.tar.gz |
| Windows binaries: | r-devel: uHMM_1.0.zip, r-release: uHMM_1.0.zip, r-oldrel: uHMM_1.0.zip |
| macOS binaries: | r-release (arm64): uHMM_1.0.tgz, r-oldrel (arm64): uHMM_1.0.tgz, r-release (x86_64): uHMM_1.0.tgz, r-oldrel (x86_64): uHMM_1.0.tgz |
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