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depmixS4 (version 0.2-2)
Dependent Mixture Models
Description
Fit latent (hidden) Markov models on mixed categorical and continuous (timeseries) data, otherwise known as dependent mixture models
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Install
install.packages('depmixS4')
Monthly Downloads
1,630
Version
0.2-2
License
GPL (>= 2)
Maintainer
Ingmar Visser
Last Published
June 30th, 2009
Functions in depmixS4 (0.2-2)
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depmix.sim-class
Class "depmix.sim"
mix.sim-class
Class "mix.sim"
balance
Balance Scale Data
posterior
Posterior states/classes
response-classes
Class "GLMresponse" and class "transInit"
mix-class
Class "mix"
response
Methods for creating depmix response models
depmix
Dependent Mixture Model Specifiction: the long way
llratio
Log likelihood ratio test on two fitted models
response-class
Class "response"
speed
Speed Accuracy Switching Data
depmix-methods
'depmix' and 'mix' methods.
depmixS4-package
depmixS4 provides classes for specifying and fitting hidden Markov models
fit
Fit 'depmix' or 'mix' models
forwardbackward
Forward and backward variables
depmix-internal
Depmix internal functions
depmix-class
Class "depmix"
depmix.fitted-class
Class "depmix.fitted"
mix.fitted-class
Class "mix.fitted"
responses
Response models currently implemented in depmix.
simulate
Methods to simulate from (dep-)mix models
mix
Mixture Model Specifiction
AIC
Compute AIC and BIC for (dep-)mix objects