MoRFit-class: Clustering with a multivariate mixture of regression model...

In comeetie/greed: Clustering and Model Selection with the Integrated Classification Likelihood

Clustering with a multivariate mixture of regression model fit results class

Description

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

comeetie/greed documentation built on Oct. 10, 2022, 5:37 p.m.