uHMM-package {uHMM} | R Documentation |
Construct an unsupervised Hidden Markov Model
Description
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.
Details
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 |
Author(s)
Emilie Poisson-Caillault and Paul Ternynck
Maintainer: <emilie.caillault@lisic.univ-littoral.fr>
Source
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.
[Package uHMM version 1.0 Index]