DM: Imputation of binary-valued features

[Richard Dybowski]

Hi

I have a dataset in which all the variables (features) are binary, 
however,
some of the rows of the dataset have at least one value missing. Can 
anyone
give me details of an E-M algorithm (for which convergence is 
guaranteed)
that will enable me to model the underlying probability mass 
distribution
thus enabling me to perform imputation? There is an established 
method of
doing this when the variables are real-valued (i.e. by using a 
Gaussian
mixture model of a multivariate pdf), but what is the approved method 
when
the variables are binary-valued (or a mixture of real- and 
binary-valued
variables)?

Thanking you in advance,

Richard