# mda v0.5-2

0

Monthly downloads

## Mixture and Flexible Discriminant Analysis

Mixture and flexible discriminant analysis, multivariate
adaptive regression splines (MARS), BRUTO, and vector-response smoothing splines.
Hastie, Tibshirani and Friedman (2009) "Elements of Statistical Learning (second edition, chap 12)" Springer, New York.

## Readme

# mda

## Functions in mda

Name | Description | |

mars | Multivariate Adaptive Regression Splines | |

mda | Mixture Discriminant Analysis | |

mspline | Vector Smoothing Spline | |

glass | Glass Identification Database | |

laplacian | create penalty object for two-dimensional smoothing. | |

mda.start | Initialization for Mixture Discriminant Analysis | |

polyreg | Polynomial Regression | |

bruto | Fit an Additive Spline Model by Adaptive Backfitting | |

predict.mda | Classify by Mixture Discriminant Analysis | |

softmax | Find the Maximum in Each Row of a Matrix | |

ESL.mixture | Mixture example from "Elements of Statistical Learning" | |

predict.bruto | Predict method for BRUTO Objects | |

plot.fda | Plot for Flexible Discriminant Analysis | |

model.matrix.mars | Produce a Design Matrix from a `mars' Object | |

predict.mars | Predict method for MARS Objects | |

predict.fda | Classify by Flexible Discriminant Analysis | |

fda | Flexible Discriminant Analysis | |

confusion | Confusion Matrices | |

gen.ridge | Penalized Regression | |

coef.fda | Produce coefficients for an fda or mda object | |

No Results! |

## Last month downloads

## Details

Date | 2020-06-26 |

License | GPL-2 |

Packaged | 2020-06-27 01:20:36 UTC; hastie |

Repository | CRAN |

Date/Publication | 2020-06-29 17:00:08 UTC |

NeedsCompilation | yes |

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