I have 761,592 obs for 31 variables on users behaviours towards online ads. Out of 31 variables, 28 are categorical. Many cat. variables have more than 10 categories. I am using Amelia for missing data imputation.
It's taking very long time. Are there other ways to do it fast? What's the Amelia limits on number of observations ?
Is there any R-package which perform better on large dataset for missing data imputation?
I checked for complete cases, there are only 172 complete cases which is very insignificant as compare to total dataset.
--Mithilesh Kumar
--
Amelia mailing list served by HUIT
[Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia
More info about Amelia: http://gking.harvard.edu/amelia
Amelia mailing list
Amelia@lists.gking.harvard.edu
To unsubscribe from this list or get other information:
https://lists.gking.harvard.edu/mailman/listinfo/amelia