MoRPath-class: Multivariate mixture of regression model hierarchical fit...

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

Multivariate mixture of regression model hierarchical fit results class

Description

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

path

a list of size K-1 with each part of the path described by:

• icl1: icl value reach with this solution for alpha=1

• logalpha: log(alpha) value were this solution is better than its parent

• K: number of clusters

• k,l: index of the cluster that were merged at this step

• merge_mat: lower triangular matrix of delta icl values

• obs_stats: a list with the following elements:

  • counts: numeric vector of size K with number of elements in each clusters

  • mvregs: list of size $K$ with statistics for each clusters

logalpha

value of log(alpha)

ggtree

data.frame with complete merge tree for easy plotting with ggplot2

tree

numeric vector with merge tree tree[i] contains the index of i father

train_hist

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

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