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This function computes the asymptotic likelihood ratio test of two models by comparing twice the different in the log-likelihoods of the models with the Chi-squared distribution with degrees of freedom equal to the difference in the degrees of freedom of the models.
alrt(x1, x2, boundary = FALSE)
A data frame that summarizes the test.
The difference between the log-likelihoods.
The difference between the degrees of freedom.
The p-value of the statistical test of the null hypothesis that there is no difference between the fit of the models.
A fitted model as an object that logLik will work for.
A fitted model as an object that logLik will work for.
A flag that reports whether a boundary correction should be made.
Andrew Robinson and Joe Hilbe.
Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.
ml_glm, ml_glm2
data(medpar)
ml.poi.1 <- ml_glm(los ~ hmo + white,
family = "poisson",
link = "log",
data = medpar)
ml.poi.2 <- ml_glm(los ~ hmo,
family = "poisson",
link = "log",
data = medpar)
alrt(ml.poi.1, ml.poi.2)
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