I had the same problem, but found this note in the MICE package documentation
(at http://cran.r-project.org/web/packages/mice/mice.pdf):
Added June 25, 2012: The currently implemented algorithm does not handle
predictors that are
specified as fixed effects (type=1). When using mice.impute.2l.norm(),
hi list,
I googled this invalid lables issue. It seems different people doing different
analysis encountered this problem. So I guess this is not about the MICE
package.
However, in general, they have categorical variables, in my case, I double
checked, the bulg_1, bulg_2, and bulg_3 are conti
Dear list,
I am trying to impute the two level data, I have a question about a warning.
Could you give me some suggestions please? Thank you very much.
Here is my code and output of mice package:
> ini <- mice(try, maxit=0)
> pred=ini$pred
> pred
FAC1_1 FAC2_1 FAC3_1 FAC4_1 FAC5_1
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