ModelMixHMM-class function

A Reference Class which represents a fitted Mixture of HMM model.

ModelMixHMM represents an estimated mixture of HMM model. class

Fields

• param: A ParamMixHMM object. It contains the estimated values of the parameters.
• stat: A StatMixHMM object. It contains all the statistics associated to the MixHMM model.

Methods

• plot(what = c("clustered", "smoothed", "loglikelihood"), ...): Plot method

   - **`what`**: The type of graph requested:
          
           * `"clustered" =` Clustered curves (field `klas` of class StatMixHMM ).
           * `"smoothed" =` Smoothed signal (field `smoothed` of class StatMixHMM).
           * `"loglikelihood" =` Value of the log-likelihood for each iteration (field `stored_loglik` of class StatMixHMM ).
   - **`...`**: Other graphics parameters.
  

• summary(digits = getOption("digits")): Summary method.

   - **`digits`**: The number of significant digits to use when printing.
  

Examples

data(toydataset)
Y <- t(toydataset[,2:ncol(toydataset)])

mixhmm <- emMixHMM(Y = Y, K = 3, R = 3, verbose = TRUE)

# mixhmm is a ModelMixHMM object. It contains some methods such as 'summary' and 'plot'
mixhmm$summary()
mixhmm$plot()

# mixhmm has also two fields, stat and param which are reference classes as well

# Log-likelihood:
mixhmm$stat$loglik

# Means
mixhmm$param$mu

See Also

ParamMixHMM , StatMixHMM