logLik.dsmodel: log-likelihood value for a fitted detection function

In DistanceDevelopment/Distance: Distance Sampling Detection Function and Abundance Estimation

log-likelihood value for a fitted detection function

Description

Extract the log-likelihood from a fitted detection function.

Usage

## S3 method for class 'dsmodel'
logLik(object, ...)

Arguments

object	a fitted detection function model object
...	included for S3 completeness, but ignored

Value

a numeric value giving the log-likelihood with two attributes: "df" the "degrees of freedom for the model (number of parameters) and "nobs" the number of observations used to fit the model

Author(s)

David L Miller

Examples

## Not run: 
library(Distance)
data(minke)
model <- ds(minke, truncation=4)
# extract the log likelihood
logLik(model)

## End(Not run)

DistanceDevelopment/Distance documentation built on Jan. 31, 2024, 4:11 a.m.