AIC.hmltm: Summarise AIC and related for hmltm object(s).

In david-borchers/hmltm: Line transect estimation with hidden Markov availability models

Summarise AIC and related for hmltm object(s).

Description

Tabulates a summary of AIC and related statistcs for fitted models of class hmltm.

Usage

## S3 method for class 'hmltm'
AIC(object, ..., sort = TRUE, k = 2, dmax = 10, criterion = c("AICc", "AIC"))

Arguments

object	An object of class "hmltm", as produced by est.hmltm.
...	Other object of class "hmltm".
sort	Logical to sort output on criterion or not.
k	Value to multiply sample size by for AIC calculation
dmax	Models with citerion difference values greater than this (scalar) will be given zero (AIC or AICc) weight
criterion	The criterion to use when comparing models and reporting differences: "AICc", or "AIC".

Details

Hacked from Murray Efford's AIC.secr function

Value

Summary of models, number of parameters, log-liklihoods, AIC and AICc values, difference in AIC or AICc values and associated model weights

david-borchers/hmltm documentation built on Oct. 29, 2023, 9:07 p.m.