aic: Akaike Information Criterion

In aczepielik/CrossTabCluster: Tools For Clsutering Cross Tables

Description

See section 4.1 in thesis, for details

Usage

aic(table, dimension, clusters, scheme)

Arguments

table	object of class "table".
dimension	integer. Whether to use rows (1) or columns (2). Default is 1.
clusters	list of integer vectors. Each vector should define a cluster by specifing row or column indices of its memebrs. Clusters must not overalap.
scheme	character. Name of the assumed table's generation scheme. Can be either "multinomial" or "independent multinomial"

Value

double. Value of AIC statisctic.

Examples

clusters <- clusters2list(stats::cutree(hclust_table(ksarakil, 1), k = 3))
aic(ksarakil, 1, clusters, "independent multinomial")

aczepielik/CrossTabCluster documentation built on June 19, 2020, 7:53 p.m.