VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002Matlab toolbox for Hidden Markov Models(Adapted from Machine Learning ToolboxVersion 1.0  01-Apr-96Copyright (c) by Zoubin Ghahramani, University of Toronto)The software uses some NETLAB routines (see http://neural-server.aston.ac.uk/netlab/index.html)so you'll need to have NETLAB on your search pathSee the file VERSION for what's new in this version.The following observation models have so far been implemented:Gaussian, Gaussian with common covariances, Likelihood, AR.DEMONSTRATIONS:demgausshmm.m       uses Gaussian observation model demgausshmm_traj.m  uses Gaussian observation model on a trajectorydemgausshmm_back.m  Gaussian observation model using backwards                     compatibility functionsdempoissonhmm.m     uses Poisson observation model on RR intervalsdemlike.m        the time series values are themselves likelihoodssleepdemo           Gaussian observation model on Sleep EEG FeaturesROUTINES:Read the file Contents.mTo extend the HMM to different observation models add the requiredcode into obsinit, obslike and obsupdate.DATA:Read the file DATA-STRUCTURE.