secr (version 2.5.0)

LR.test: Likelihood Ratio Test

Description

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

Usage

LR.test(model1, model2)

Arguments

model1

fitted model

model2

fitted 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

Details

The fitted models are expected to be of class `secr' or `openCR'. 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 model1 or model2 may be the more general model.

See Also

AIC.secr, score.test

Examples

## two pre-fitted models
AIC (secrdemo.0, secrdemo.b)
LR.test  (secrdemo.0, secrdemo.b)