Dear all,
A quick question: Let’s say I have a full and a restricted model that looks
something like this:
Full<- polr(Y ~ X1+X2+X3+X4, data=data, Hess = TRUE, method="logistic”) #
ordered logistic regression
Restricted<- polr(Y ~ X1+X2+X3, data=data, Hess = TRUE, method="logistic”) #
ordered logistic regression
I wanted to conduct the F-test (using aov command) in order to determine
whether the information from the X4 variable statistically improves our
understanding of Y.
However, I’ve been told that the likelihood ratio test is a better alternative.
So, I would like to conduct the LR test. In rms package this is easy --
lrest(Full, Restricted) — I’m just curious how to perform the same using polr.
Thanks!
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