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Missing data are frequently encountered in highdimensional data analysis, but they are usually difficult to deal with using standard algorithms, such as the EM algorithm and its variants. This package provides a general algorithm, the socalled Imputation Regularized Optimization (IRO) algorithm, for highdimensional missing data problems. You can refer to Liang, F., Jia, B., Xue, J., Li, Q. and Luo, Y. (2018) at <arXiv:1802.02251> for detail.
Package details 


Author  Bochao Jia [aut, ctb, cre, cph], Faming Liang [ctb] 
Maintainer  Bochao Jia <[email protected]> 
License  GPL2 
Version  1.0.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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