em_aic {betaclust}

R Documentation

Akaike Information Criterion

Description

Compute the AIC value for the optimal model.

Usage

em_aic(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 samples collected from each patient.
model_name	Fitted mixture model. Options are "K..", "KN." and/or "K.R" (default = "K..").

Details

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

Value

The AIC value for the selected model.

See Also

em_bic

em_icl

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