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depmixS4 (version 0.2-1)
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
0.2-1
License
GPL (>=2)
Maintainer
Ingmar Visser
Last Published
May 12th, 2021
Functions in depmixS4 (0.2-1)
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depmixS4-package
depmixS4 provides classes for specifying and fitting hidden Markov models
depmix.sim-class
Class "depmix.sim"
balance
Balance Scale Data
depmix-methods
'depmix' and 'mix' methods.
fit
Fit 'depmix' or 'mix' models
forwardbackward
Forward and backward variables
mix
Mixture Model Specifiction
llratio
Log likelihood ratio test on two fitted models
depmix.fitted-class
Class "depmix.fitted"
responses
Response models currently implemented in depmix.
depmix
Dependent Mixture Model Specifiction: the long way
response
Methods for creating depmix response models
mix.sim-class
Class "mix.sim"
simulate
Methods to simulate from (dep-)mix models
depmix-internal
Depmix internal functions
mix-class
Class "mix"
response-class
Class "response"
depmix-class
Class "depmix"
response-classes
Class "GLMresponse" and class "transInit"
speed
Speed Accuracy Switching Data
AIC
Compute AIC and BIC for (dep-)mix objects
posterior
Posterior states/classes
mix.fitted-class
Class "mix.fitted"