Introduction | Installation | Quick Start | Detailed guide | A look at the VRC01 data | A first approach: linear regression | Building a library of learners | Estimating variable importance for a single variable | Estimating variable importance for a group of variables | Types of population variable importance | References

Introduction | Using precomputed regression function estimates without cross-fitting | A first approach: linear regression | Estimating variable importance for a single variable using precomputed regression function estimates | Estimating variable importance for a group of variables using precomputed regression function estimates | Conclusion | References

Introduction | Coarsened data in vimp | Example with missing outcomes | Example with two-phase sampling | References

Introduction | Extrinsic selection with missing data

Introduction | Intrinsic selection with missing data

Introduction | Installation | Quick Start

Introduction | Conditional VIMs | Marginal VIMs | Shapley VIMs | Adjusting for confounders | Conclusion | References

Introduction | Installation | Quick start | Extrinsic variable selection | Intrinsic variable selection