AIC.pvEBayes: Obtain Akaike Information Criterion (AIC) for a pvEBayes...

In pvEBayes: Empirical Bayes Methods for Pharmacovigilance

Obtain Akaike Information Criterion (AIC) for a pvEBayes object

Description

This function defines the S3 AIC method for objects of class pvEBayes. It extracts the Akaike Information Criterion (AIC) from a fitted model.

Usage

## S3 method for class 'pvEBayes'
AIC(object, ..., k = 2)

Arguments

object	a pvEBayes object, which is the output of the function pvEBayes or pvEBayes_tune.
...	other input parameters. Currently unused.
k	numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC.

Value

numeric, AIC score for the resulting model.

Examples

fit <- pvEBayes(
  contin_table = statin2025_44, model = "general-gamma",
  alpha = 0.3, n_posterior_draws = NULL
)

AIC_score <- AIC(fit)

pvEBayes documentation built on Aug. 8, 2025, 6:13 p.m.