Package index • Model-Independent Variable Selection with Variable Priority

All functions
`clusterpro()`	ClusterPro for Unsupervised Data Visualization
`cv.varpro()`	Cross-Validated Cutoff Value for Variable Priority (VarPro)
`glioma`	Diffuse Adult Glioma
`importance()`	Calculate VarPro Importance
`isopro.varpro()`	Identify Anomalous Data
`ivarpro()`	Individual Variable Priority (iVarPro)
`partialpro()`	Partial Effects for Variable(s)
`plot.clusterpro()`	Plots for Unsupervised Data Visualization
`plot.partialpro()`	Partial Plots for VarPro
`predict.isopro()`	Prediction for Isopro for Identifying Anomalous Data
`predict.unsupv()`	Prediction on Test Data using Unsupervised VarPro
`predict(<varpro>)`	Prediction on Test Data using VarPro
`unsupv.varpro()`	Unsupervised Variable Selection using Variable Priority (VarPro)
`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

Reference