Dear Janet,
Performing a traceback after the error gives a hint:
tmp.pcc-polychor(tmp.mat, ML=T, std.err=T)
traceback()
8: stop(at least one element of , sQuote(lower), is larger than ,
sQuote(upper))
7: checkmvArgs(lower = lower, upper = upper, mean = mean, corr = corr,
sigma
Hi.
Does anyone know whether the following error is a result of a bug or a
feature?
I can eliminate the error by making ML=F, but I would like to see the
values of the cut-points and their variance. Is there anything that I
can do?
tmp.vec-c(0, 0, 0 , 0 ,0 , 1, 0, 2, 0 , 0, 5 ,5
Hi.
Does anyone know whether the following error is a result of a bug or
a feature?
I can eliminate the error by making ML=F, but I would like to see the
values of the cut-points and their variance.
tmp.vec-c(0, 0, 0 , 0 ,0 , 1, 0, 2, 0 , 0, 5 ,5 ,3 ,1,
0 , 1, 5, 10, 27, 20,
