LR.test {secr} | R Documentation

## Likelihood Ratio Test for SECR Models

### Description

Compute likelihood ratio test to compare two fitted models, one nested within the other.

### Usage

    LR.test(secr1, secr2)

### Arguments

`secr1` | fitted secr model
`secr2` | fitted secr model

### Details

The test statistic is twice the difference of the maximized likelihoods. It is compared to a chi-square distribution with df equal to the number of extra parameters in the more complex model.

The models must be nested (no check is performed - this is up to the user), but either secr1 or secr2 may be the more general model.

### Value

Object of class 'htest', a list with components

`statistic` | value the test statistic
`parameter` | degrees of freedom of the approximate chi-squared distribution of the test statistic
`p.value` | probability of test statistic assuming chi-square distribution
`method` | character string indicating the type of test performed
`data.name` | character string with names of secr models compared

### Author(s)

Murray Efford murray.efford@otago.ac.nz

### See Also

`AIC.secr`, `score.test`

### Examples

        data(secrdemo)
        AIC (secrdemo.0, secrdemo.b)
        LR.test  (secrdemo.0, secrdemo.b)

[Package secr version 1.3.0 Index]