R: Model-Independent Variable Selection via the Rule-Based Variable Priority

# Model-Independent Variable Selection via the Rule-Based Variable Priority

## Documentation for package ‘varPro’ version 3.1.0

- DESCRIPTION file
- Package NEWS

## Help Pages

alzheimers | Alzheimer's Disease Dataset
cv.varpro | Cross-Validated Cutoff Value for Variable Priority (VarPro)
glioma | Diffuse Adult Glioma
hrrecov | Exercise Heart Rate Recovery and Mortality
importance | Calculate Importance for VarPro and UVarPro Objects
importance.rhf | Calculate Importance for VarPro and UVarPro Objects
importance.uvarpro | Calculate Importance for VarPro and UVarPro Objects
importance.varpro | Calculate Importance for VarPro and UVarPro Objects
isopro | Identify Anomalous Data
ivarpro | Individual Variable Priority (iVarPro): Case-Specific Variable Importance
outpro | Model and subsapce aware out-of-distribution (OOD) scoring with outPro
outpro.null | Model and subsapce aware out-of-distribution (OOD) scoring with outPro
partialpro | Partial Effects for Variable(s)
plot.ivarpro | Plot iVarPro Gradients for a Single Variable
plot.partialpro | Plot method for partialpro objects
predict.isopro | Prediction for Isopro for Identifying Anomalous Data
predict.ivarpro | Predict iVarPro Gradients on New Data
predict.uvarpro | Prediction on Test Data using Unsupervised VarPro
predict.varpro | Prediction on Test Data using VarPro
uvarpro | Unsupervised Variable Selection using Variable Priority (UVarPro)
varpro | Model-Independent Variable Selection via the Rule-based Variable Priority (VarPro)
varpro.news | Show the NEWS file
varpro.strength | Obtain Strength Array and Other Values from a VarPro Object