Even you used perm="Exact", the maximum observations allowed is only 10. If
data exceeds this, perm="Prob" is used instead of "Exact". So, the p-values
are always changed. The Porb method will approximate the permutation
distribution by randomly exchanging pairs of Y elements.
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I've started using lmPerm in order to perform regressions in R. The
equation I want to fit has the form:
out3 <- lmp(outcome ~ bin1 + bin2 + cont1 + cont2, perm="Exact")
Where "outcome" is a non-normally distributed continuous variable, and bin*
and cont are binary and continuous regressors (simi
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