Multiple Imputation Using the General Location Model with the EMB Algorithm

Provides multiple imputation for mixed continuous and categorical data using the General Location Model (Olkin and Tate (1961) ; Little and Schluchter (1985) ) combined with the Expectation-Maximization with Bootstrapping (EMB) algorithm of Honaker, King and Blackwell (2011) . Categorical variables are specified via the noms option; all other variables are treated as continuous. The package wraps the EM implementation in the 'mix' package and extends it with a bootstrap wrapper to produce proper multiple imputations in the sense of Rubin (1987, ISBN:978-0-471-08705-2).