AUC_WD_metric: AUC and WD function

In betaclust: A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data

AUC and WD function

Description

Function to find the level of similarities between the R cumulative distributions estimated in each of the K clusters.

Usage

AUC_WD_metric(alpha, delta, K, R)

Arguments

alpha	The first shape parameter estimated for the beta mixture model.
delta	The second shape parameter estimated for the beta mixture model.
K	The number of clusters estimated.
R	The number of sample types in the dataset.

Details

Function to find the level of similarities between the R cumulative distributions estimated in each of the K clusters.

Value

The list with AUC and WD values.

See Also

betaclust

betaclust documentation built on Sept. 30, 2024, 9:30 a.m.