Description Details Author(s) Source
This package proposes an interface to detect usual or extreme events in a dataset and to characterize their dynamic, by building an unsupervised Hidden Markov Model (use uHMMinterface
to launch the interface).
Functions can also be used out of the interface to build an uHMM.
Package: | uHMM |
Version: | 1.0 |
Date: | 2016-04-13 |
Depends: | R (>= 3.0.0), stats, grDevices |
Import: | tcltk, tcltk2, tkrplot, HMM, clValid, class, cluster, FactoMineR, corrplot, chron |
License: | GPL (>=2) |
LazyLoad: | yes |
Emilie Poisson-Caillault and Paul Ternynck
Maintainer: <emilie.caillault@lisic.univ-littoral.fr>
Rousseeuw, Kevin, et al. "Hybrid hidden Markov model for marine environment monitoring." Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of 8.1 (2015): 204-213.
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