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Does any standard statistical software like R, SAS or SPSS have procedures or codes to analyze log-linear models for missing data in contingency tables using maximum likelihood estimation (or EM algorithm or other iterative procedures), not multiple imputation techniques ?

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Yes, the cat package in R has the em.cat function which uses the EM algorithm to find the MLE of a saturated log-linear model for a contingency table with missing values.

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