summary.betaclust: Summarizing the beta mixture model fits

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

Summarizing the beta mixture model fits

Description

Summary method for a betaclust object containing the results under the optimal model selected.

Usage

## S3 method for class 'betaclust'
summary(object, ...)

Arguments

object	A betaclust object.
...	Further arguments passed to or from other methods.

Value

An object of class summary.betaclust which contains the following list:

• C - The number of CpG sites analysed using the beta mixture models.

• N - The number of patients analysed using the beta mixture models.

• R - The number of sample types analysed using the beta mixture models.

• K - The number of methylation states in R DNA samples.

• modelName - The optimal model selected.

• loglik - The log-likelihood value for the selected optimal model.

• information_criterion - The information criterion used to select the optimal model.

• ic_output - This stores the information criterion value calculated for each model.

• classification - The total number of CpG sites in each cluster.

• prop_data - The estimated mixing proportion for each cluster.

See Also

betaclust

Examples

my.seed <- 190
M <- 3
N <- 4
R <- 2
data_output <- betaclust(pca.methylation.data[1:30,2:9], M, N, R,
            model_names=c("K..","KN.","K.R"), model_selection="BIC",
            parallel_process = FALSE, seed=my.seed)
summary(data_output)

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