em_bic {betaclust}

Bayesian Information Criterion

Description

Compute the BIC value for the optimal model.

Usage

em_bic(llk, C, M, N, R, model_name = "K..")

Arguments

llk

Log-likelihood value.

C

Number of CpG sites.

M

Number of methylation states identified in a DNA sample.

N

Number of patients.

R

Number of DNA sample types collected from each patient.

model_name

Fitted mixture model. Options are "K..", "KN." and/or "K.R" (default = "K..").

Details

Computes the BIC for a specified model given the log-likelihood, the dimension of the data, and the model names.

Value

The BIC value for the selected model.

See Also

em_aic

em_icl