How do you impute missing data using Latent Class Model (poLCA package)
My problem is I have data with both categorial and numerical data,
currently only the categorical number contains missing data, was wondering
do I make a new dataframe containing only the categorical columns?
"MI packages assume the Multivariate Normal Distribution which may not hold
for certain types of categorical and binary data. Yucel Recai, Yulei He,
and Alan Zaslavsky point out in their May 2008 article in The American
Statistician, naive rounding MI imputations can bias estimates,
particularly when the underlying data are asymmetric or multimodal."