AICcompatible: Model Compatibility

In secr: Spatially Explicit Capture-Recapture

Model Compatibility

Description

Determine whether models can be compared by AIC. Incompatibility may be due to difference in the data or the specifications of the groups, hcov or binomN arguments to secr.fit,

Usage

## S3 method for class 'secr'
AICcompatible(object, ...)
## S3 method for class 'secrlist'
AICcompatible(object, ...)

Arguments

object	secr object output from the function secr.fit, or a list of such objects with class c("secrlist", "list")
...	other secr objects

Details

The capthist objects are checked for strict identity with the function identical.

All elements in the output must be TRUE for valid AIC comparison or model averaging using AIC or AICc.

Value

Named logical vector with elements ‘data’, ‘CL’, ‘groups’, ‘hcov’ and ‘binomN’.

See Also

AIC.secr, modelAverage

Examples

AICcompatible(secrdemo.0, secrdemo.CL)

## Not run: 

## A common application of AICcompatible() is to determine 
## the compatibility of models fitted with and without the 
## fastproximity option.

ovenCHp1 <- reduce(ovenCHp, by = 'all', outputdetector = 'count')
ob1 <- secr.fit(ovenCHp, buffer = 300, details = list(fastproximity = TRUE))
ob2 <- secr.fit(ovenCHp1, buffer = 300, details = list(fastproximity = FALSE))
ob3 <- secr.fit(ovenCHp1, buffer = 300, details = list(fastproximity = FALSE), binomN = 1)
AICcompatible(ob1,ob2)
AICcompatible(ob1,ob3)


## End(Not run)

secr documentation built on Oct. 18, 2023, 1:07 a.m.