Multiple Imputation in the Presence of High-dimensinal Data


[Up] [Top]

Documentation for package ‘MIHD’ version 3.0

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