| bruto | Fit an Additive Spline Model by Adaptive Backfitting |
| coef.fda | Produce coefficients for an fda or mda object |
| coef.mda | Produce coefficients for an fda or mda object |
| confusion | Confusion Matrices |
| confusion.default | Confusion Matrices |
| confusion.fda | Confusion Matrices |
| confusion.list | Confusion Matrices |
| ESL.mixture | Mixture example from "Elements of Statistical Learning" |
| fda | Flexible Discriminant Analysis |
| gen.ridge | Penalized Regression |
| glass | Glass Identification Database |
| laplacian | create penalty object for two-dimensional smoothing. |
| mars | Multivariate Adaptive Regression Splines |
| mda | Mixture Discriminant Analysis |
| mda.start | Initialization for Mixture Discriminant Analysis |
| model.matrix.mars | Produce a Design Matrix from a 'mars' Object |
| mspline | Vector Smoothing Spline |
| plot.fda | Plot for Flexible Discriminant Analysis |
| polyreg | Polynomial Regression |
| predict.bruto | Predict method for BRUTO Objects |
| predict.fda | Classify by Flexible Discriminant Analysis |
| predict.gen.ridge | Penalized Regression |
| predict.mars | Predict method for MARS Objects |
| predict.mda | Classify by Mixture Discriminant Analysis |
| predict.polyreg | Polynomial Regression |
| print.fda | Flexible Discriminant Analysis |
| print.mda | Mixture Discriminant Analysis |
| softmax | Find the Maximum in Each Row of a Matrix |