Multiple Imputation in the Presence of High-dimensinal Data

Documentation for package ‘MIHD’ version 3.0

as.mice	Converts an multiply imputed dataset obtained from DURR and IURR functions into a 'mids' object
databinary	An example of the data set that has one binary variable partially observed.
datagaussian	An example of the data set that has one gaussian variable partially observed.
datapoisson	An example of the data set that has one poisson variable partially observed.
GMdata	High-dimensional data set with general missing patterns.
GMdurr	Multiple Imputation through Direct Use of Regularized Regression(DURR) in the presence of General missing patterns
GMiurr	Multiple Imputation through Indirect Use of Regularized Regression(IURR)in the presence of General missing pattern
MIdurr	Multiple Imputation through Direct Use of Regularized Regression(DURR) for univariate missing data pattern
MIiurr	Multiple Imputation through Indirect Use of Regularized Regression(IURR) for univariate missing data pattern