secr: AICcompatible – R documentation

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AICcompatible

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’.

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

Spatially Explicit Capture-Recapture

v4.4.1

GPL (>= 2)

Authors

Murray Efford

Initial release

2021-05-01