Likelihood Ratio Test
Compute likelihood ratio test to compare two fitted models, one nested within the other.
LR.test(model1, model2)
model1 |
fitted model |
model2 |
fitted model |
The fitted models must be of a class for which there is a logLik
method (e.g., ‘secr’ or ‘lm’). Check with methods("logLik").
The models must be nested (no check is performed - this is up to the user), but either model1 or model2 may be the more general model.
The models must also be compatible by the criteria of AICcompatible.
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.
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 models compared |
## two pre-fitted models AIC (secrdemo.0, secrdemo.b) LR.test (secrdemo.0, secrdemo.b)
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