Description Usage Arguments Value Author(s) See Also Examples

Compute an estimate of the maximum likelihood parameter of a
histogram-like model. If `plot=TRUE`

, the resulting object of
class `"histogram"`

is plotted according to
`plot.histogram`

, before it is returned.

1 2 3 |

`x` |
a vector of values for which the histogram is desired. |

`model` |
a character string naming the desired histogram-like
model. Currently, only |

`gain` |
minimum required complexity reduction before an additional interval is accepted. |

`precision` |
a value giving the minimum resolution of the data. When computing complexities, boundary values are blurred by this amount to mitigate the effects of, for example, rounding. |

`support` |
minimum number of data points desired per interval. |

`plot` |
logical. If |

`main, xlab, ylab` |
these arguments to |

`...` |
further arguments and graphical parameters passed
to |

an object of class `"histogram"`

which is a list of components:

`breaks` |
the boundaries of intervals. Note that consecutive values are not the same as the boundaries of the intervals that, recursively, define the model instance. |

`density` |
densities of the data inside the model-interval that a section is part of. |

`xname` |
a character string with the actual |

Jouke Witteveen and Richard Gill

1 2 3 4 5 6 7 8 9 |

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