goodness_of_fit: Akaike's (and Bayesian) An Information Criterion for...

In lcgodoy/smile: Spatial Misalignment: Interpolation, Linkage, and Estimation

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

Description

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.

lcgodoy/smile documentation built on Nov. 20, 2024, 12:17 a.m.