Class "depmix"
DepmixS4 internal functions
Class "depmix.fitted" (and "depmix.fitted.classLik")
Methods for creating depmix response models
depmixS4 provides classes for specifying and fitting hidden Markov models
Fit 'depmix' or 'mix' models
'depmix' and 'mix' methods.
Dependent Mixture Model Specifiction
Balance Scale Data
Class "depmix.sim"
Class "mix.sim"
Format percentage for level in printing confidence interval
Control parameters for the EM algorithm
Methods to fit a (dep-)mix model using multiple sets of starting values
Log likelihood ratio test on two fitted models
Standard & Poor's 500 index
Methods to simulate from (dep-)mix models
Forward and backward variables
Class "GLMresponse" and class "transInit"
Response models currently implemented in depmix.
Class "mix"
Viterbi algorithm for decoding the most likely state sequence
Methods for creating depmix transition and initial probability models
Parameter standard errors
Dependent Mixture Model Specifiction: full control and adding response models
Class "mix.fitted" (and "mix.fitted.classLik")
Mixture Model Specifiction
Speed Accuracy Switching Data
Posterior state/class probabilities and classification
Class "response"
Compute the stationary distribution of a transition probability matrix.