Code from the handbook "Statistical foundations of machine learning"

A | A Santa Fe time series |

AUC | AUC |

bagging.pred | Wrapper on lazy learning algoritmhs for regression and... |

BiasVar | Demo of bias/variance tradeoff |

cmim | cmim |

constloo | Embedding of multivariate time series |

cor2I2 | correlation to mutual information |

dist2 | Returns matrix of distances between two matrices with same... |

forwardSel | forwardSel |

hyperg | hypergeometric pvalue |

impute | impute |

is.element.list | is.element.list |

KNN.acf | KNN.acf |

KNN.acf.lin | KNN.acf.lin |

KNN.multioutput | KNN.multioutput |

KNN.pls | KNN.pls |

lazy.pred | Wrapper on lazy learning algoritmhs for regression and... |

linearFsel | linearFsel |

lin.pls | lin.pls |

MakeEmbedded | Embedding of multivariate time series |

MASE | Mean Absolute scaled error |

mimr-open-paren-minimum-interaction-maximum-relevance-close-paren | mimr |

mrmr | mrmr |

multiplestepAhead | multiplestepAhead |

NN5 | NN5 time series |

pca | PCA compression |

pca.svd | PCA compression by SVD decomposition |

pcor1 | partial correlation |

plotF | Plot the F density and cumulative distribution |

plotStu | Plot the Student density and cumulative distribution |

pred | Wrapper on learning algoritmhs for regression and... |

rankregr | rankregr |

rankrho | rankrho |

regrDataset | Generator of nonlinear regression dataset |

regrlin | Linear regression with PRESS leave one out estimate |

remNA | Remove NA from a time series by interpolation |

rfrank | rfrank |

rls | Recursive least-squares step with forgetting factor |

SMAPE | Symmetric mean absolute percentage error |

var2H | variance to entropy |

which.element.list | which.element.list |

which.subelement.list | which.subelement.list |

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