# Multiple Imputation in the Presence of High-dimensinal Data

## Documentation for package ‘MIHD’ version 3.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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