[R] missing values in mixed model
ima at difres.dk
Mon Oct 22 06:46:57 CEST 2007
I have a mixed model of the form:
y[it]=a+b*z[i]+ai+(c+c[i])*x[it] ("i" refers to group and "t" to observation in group).
zi are group-specific variables available only for a number of groups
and "ai", "ci" denote the random effects on the intercept and slope respectively.
Is there some way to drop b*zi for the missing value cases or some other way to deal with them?
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