uHMM-package: Construct an unsupervised Hidden Markov Model

In uHMM: 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: <[e-mail]>

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.

uHMM documentation built on May 2, 2019, 9:16 a.m.