| IROmiss-package | Imputation Regularized Optimization Algorithm |
| 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. |