LR.test | R Documentation |
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 |
AICcompatible
,
AIC.secr
,
score.test
## two pre-fitted models
AIC (secrdemo.0, secrdemo.b)
LR.test (secrdemo.0, secrdemo.b)
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