Dear List!
I have a dataset with about 43000 observations and about 100 variables.
Seven of these variables are relevant for my research topic (they are
ordinal scaled with one to five) and have about 45% missing values. I would
like to apply Bayesian dataimputation with m=10.
1. Do I need more than the seven relevant variables to apply Bayesian data
imputation or do I only need a matrix with the relevant seven variables.
2. How long does the procedure roughly take (computer 2.8GHZ and 1GB RAM),
minutes, hours or days?!
Tnanks!
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