Combine a Multiply Imputed Data Set with other mids object or dataframe
Creates a Complete Flat File from a Multiply Imputed Data Set
Generalized Linear Model for Multiply Imputed Data
Combine imputations fitted to the same data
Linear Regression on Multiply Imputed Data
Multivariate Imputation by Chained Equations (MICE)
Imputation by Linear Discriminant Analysis
Imputation by Bayesian Linear Regression
Imputation by Linear Regression (non Bayesian)
Multivariate Imputation by Chained Equations (Iteration Step)
NHANES example - all variables numerical
NHANES example - mixed numerical and discrete variables
Compare two nested models fitted to imputed data
Multiple Imputation Pooling: Univariate version
Hox pupil popularity data with missing popularity scores
Quick selection of predictors from the data
Evaluate an expression in multiple imputed datasets