Maximum Likelihood Multiple Imputation
Imputation for categorical variables using log linear models
Imputation for a mixture of continuous and categorical variables using...
Multivariate normal model imputation
Normal regression imputation of a single variable
Reference based imputation of repeated measures continuous data
Score based variance estimation for multiple imputation
Within between variance estimation
Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>. A number of different imputations are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using combination rules similar to Rubin's or using a likelihood score based approach based on theory by Wang and Robins (1998) <doi:10.1093/biomet/85.4.935>.