AIC.scampr: Akaike's Information Criteria for objects of class 'scampr'....

In ElliotDovers/scampr: Spatially Correlated, Approximate Modelling of Point patterns in R

Akaike's Information Criteria for objects of class 'scampr'. Note that this currently calculates mAIC

Description

Akaike's Information Criteria for objects of class 'scampr'. Note that this currently calculates mAIC

Usage

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

Arguments

object	a scampr model
...	Optionally, additional scampr model objects
k	a numeric describing the penalty per parameter - defaults to k = 2 i.e. classical AIC.

Value

a numeric value with the corresponding AIC (or BIC, or ..., depending on k).

Examples

# Get the gorilla nesting data
dat <- gorillas

# Standardise the elevation covariate
dat$elev.std <- scale(dat$elevation)

# Fit a scampr model to the point pattern
m <- scampr(pres ~ elev.std, data = dat, model.type = "PO")

AIC(m)

ElliotDovers/scampr documentation built on March 17, 2024, 3:27 p.m.