Estimation of Multivariate Densities Using Adaptive Partitions

cluster.lst | Assigns labels to data points |

delt-package | Estimation of Multivariate Densities Using Adaptive... |

densplit | Calculation of an overfitting histogram |

eval.bagg | Returns a bootstrap aggregation of adaptive histograms |

eval.cart | Calculates a CART histogram |

eval.greedy | Returns a greedy histogram |

eval.pick | Returns a subtree of an evaluation tree |

eval.stage | Returns a stagewise minimization estimate |

eval.stage.gauss | Returns a 1D Gaussian mixture density estimate |

intpcf | Calculates the integral of a piecewise constant function |

lefrig2par | Transforms an evaluation tree so that it can be plotted with... |

lstseq.bagg | Calculates a scale of bootstrap aggregated histograms |

lstseq.cart | Calculates a scale of CART histograms |

lstseq.greedy | Calculates a scale of greedy histograms |

makebina | Tranforms and evaluation tree to the tree object of R |

partition | Finds the partition generated by an evaluation tree |

pcf.greedy.kernel | Computes a discretized kernel estimator with an adaptive... |

plotparti | Draws a partition |

prune | Prepares for pruning an overfitting evaluation tree |

scaspa | Finds the number of modes of histograms which are obtained by... |

supp | Returns the bounding box of observations |

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