AIC.ddf: Akaike's An Information Criterion for detection functions

In mrds: Mark-Recapture Distance Sampling

Akaike's An Information Criterion for detection functions

Description

Extract the AIC from a fitted detection function.

Usage

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

Arguments

object	a fitted detection function object
...	optionally more fitted model objects.
k	penalty per parameter to be used; the default k = 2 is the "classical" AIC

Author(s)

David L Miller

mrds documentation built on May 29, 2024, 3:56 a.m.