Imputation Regularized Optimization Algorithm

Documentation for package ‘IROmiss’ version 1.0.1

IROmiss-package	Imputation Regularized Optimization Algorithm
EyeICRO	Variable selection for Bardet-Biedl syndrome data with missing observations.
eye_norm	Example dataset for high-dimensional variable selection by the ICRO algorithm.
GraphIRO	Learning high-dimensional Gaussian Graphical Models with Missing Observations.
RCDat	A simulated dataset for random coefficient models.
RCLM	Fit Random Coefficient Linear Models
RegICRO	Variable selection for high-dimensional Regression with Missing Data.
SimGraDat	Simulate Incomplete Data for Gaussian Graphical Models
SimRCLM	Simulate Dataset for Random Coefficient Linear Models
SimRegDat	Simulate Incomplete Data for High-Dimensional Linear Regression.
yeast	Example dataset for learning Gaussian Graphical Models by the IRO Algorithm
YeastIRO	Learning gene regulatory networks for Yeast Cell Expression Data.