Hello,
I want to start testing using the MNP probit function in stead of the
lrm function in my current experiment.
I have one dependant label and two independent varaibles.
The lrm is simple
model <- lrm(label ~ val1 + val2)
I tried the same thing with the mnp function and got an error that I
don't understand
model <- mnp(label ~ val1 + val2)
I get back an immediate error that tells me, "The number of alternatives
should be at least 3"
Since I have a binary training label, this looks like a problem.
(Additionally, I thought that a probit was a appropriate tool for
building binary models.)
Any advice?
Thanks!
-N
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