Description Usage Arguments Value References Examples

Plug-in bandwidth selector for kernel distribution estimation and binned data.

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`n` |
Positive integer. Size of the complete sample. |

`y` |
Vector. Observed values. They define the extremes of the sequence of intervals in which data is binned. |

`w` |
Vector. Proportion of observations within each interval. |

`ni` |
Vector. Number of observations within each interval. |

`gplugin` |
Positive real number. Pilot bandwidth. If missing, rule-of-thumb bandwidth is considered. |

`type` |
Character. If |

`confband` |
Logical. If TRUE, bootstrap confidence bands for the distribution are constructed. Defaults to FALSE. |

`B` |
Number of bootstrap resamples. Defaults to 1000. |

`alpha` |
Significance level for the bootstrap confidence bands. Defaults to 0.05. |

`plot` |
Logical. If TRUE, results are plotted. Defaults to TRUE. |

`print` |
Logical. If TRUE, script current status is printed. Defaults to TRUE. |

`model` |
Character. Name of the parametric family of distributions to be fitted for the grouped sample. Parameters are estimated by maximum likelihood. |

`parallel` |
Logical. If TRUE, confidence bands are estimated using parallel computing with sockets. |

`pars` |
Environment. Needed for the well functioning of the script. DO NOT modify this argument. |

A list with components

`h` |
Plug-in bandwidth. |

`Fh` |
Function. Kernel distribution estimator with bandwidth |

`confband` |
(Optional) Bootstrap confidence bands for the distribution function. |

TesisMiguel2015binnednp

\insertRefPhalaris2016binnednp

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