Tools for Multiple Imputation in Multilevel Modeling
Convert objects of class amelia to mitml.list
Compare several nested models
Convert a list of data sets to mitml.list
Calculate cluster means
Check if an object is of class mitml.list
Impute single-level and multilevel missing data using jomo
Convert imputations from long format to mitml.list
Concatenate lists of imputed data sets
Summarize and extract pooled parameter estimates
Convert objects of class mids to mitml.list
mitml: Tools for multiple imputation in multilevel modeling
Convert objects of class mitml.list to mids
Extract imputed data sets
Calculate R-squared measures for multilevel models
Impute multilevel missing data using pan
Print diagnostic plots
Read mitml objects from file
Sort a list of imputed data sets
Subset a list of imputed data sets
Summary measures for imputation models
Test functions and constraints of model parameters
Compute final estimates and inferences
Test multiple parameters and compare nested models
Evaluate an expression in a list of imputed data sets
Write mitml objects to file
Write mitml objects to Mplus format
Write mitml objects to native SPSS format
Write mitml objects to SPSS compatible format
Provides tools for multiple imputation of missing data in multilevel modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo', and several functions for visualization, data management and the analysis of multiply imputed data sets.