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

cluster.lst |
Assigns labels to data points |

delt |
Estimation of Multivariate Densities Using Adaptive Partitions |

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 the "plottree" function of package "denpro" |

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 partition |

plotparti |
Draws a partition |

prune |
Prepares for pruning an overfitting evaluation tree |

scaspa |
Finds the number of modes of histograms which are obtained by pruning an overfitting histogram |

supp |
Returns the bounding box of observations |