Function reference • stratifiedSSL

All functions
`AccuracyStdErrorEstimation()`	Component-wise minimum variance semi-supervised regression.
`AlternativeBasis()`	Computes the natural spline basis.
`CrossValAccuracy()`	CV estimates for brier score (MSE) and misclassification rate (OMR).
`CrossValResids()`	Apparent estimates for brier score (MSE) and misclassification rate (OMR).
`DataGeneration()`	Generate Data for Simulation Studies
`DensityRatioRegression()`	Density ratio regression_
`NaturalSplineBasis()`	Computes the natural spline basis.
`SemiSupervisedApparentAccuracy()`	Apparent estimates for brier score (MSE) and misclassification rate (OMR).
`SemiSupervisedMinVarRegression()`	Component-wise minimum variance semi-supervised regression.
`SemiSupervisedRegression()`	Semi-supervised regression.
`StdErrorEstimation()`	Standard error estimation based on influence function expansion.
`StdErrorEstimationDR()`	Standard error estimation based on influence function expansion for DR method.
`SupervisedApparentAccuracy()`	Apparent estimates for brier score (MSE) and misclassification rate (OMR).

Reference