My use case is to build a model on a training data set and then
demonstrate its performance on a separate test data set; both data sets
may contain missing data.
Amelia seems to assume that missing values will be imputed on the same
data set used to estimate the imputation model itself. Is there an
interface, or a reasonably discrete section of the code in the package,
which allows an imputation model developed from a training set to be
used to impute missing values in a test set?
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Paul Dunmore
100 Marine Parade
Paraparaumu 5032
New Zealand
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