Akaike's (and Bayesian) An Information Criterion for spm_fit objects. — goodness_of_fit • smile

Akaike's (and Bayesian) An Information Criterion for spm_fit objects.

Usage

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

# S3 method for class 'spm_fit'
BIC(object, ...)

Arguments

object: a spm_fit object.
...: optionally more fitted model objects.
k: numeric, the penalty per parameter to be used; the default 'k = 2' is the classical AIC. (for compatibility with stats::AIC.

Value

a numeric scalar corresponding to the goodness of fit measure.