MoRFit-class function

Clustering with a multivariate mixture of regression model fit results class

An S4 class to represent a fit of a multivariate mixture of regression model, extend IclFit-class. class

Slots

• model: a MoR-class object to store the model fitted

• name: generative model name

• icl: icl value of the fitted model

• K: number of extracted clusters over row and columns

• cl: a numeric vector with row and columns cluster indexes

• obs_stats: a list with the following elements:

    * counts: numeric vector of size K with number of elements in each clusters
    * mvmregs: list of size $K$ with statistics for each clusters
  

• move_mat: binary matrix which store move constraints

• train_hist: data.frame with training history information (details depends on the training procedure)

See Also

coef,MoRFit-method