# Weighted Bonferroni-test

### Description

Weighted Bonferroni-test

### Usage

1 2 | ```
bonferroni.test(pvalues, weights, alpha = 0.05, adjPValues = TRUE,
verbose = FALSE, ...)
``` |

### Arguments

`pvalues` |
A numeric vector specifying the p-values. |

`weights` |
A numeric vector of weights. |

`alpha` |
A numeric specifying the maximal allowed type one error rate. If |

`adjPValues` |
Logical scalar. If |

`verbose` |
Logical scalar. If |

`...` |
Further arguments possibly passed by |

### Examples

1 2 | ```
bonferroni.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0))
bonferroni.test(pvalues=c(0.1,0.2,0.05), weights=c(0.5,0.5,0), adjPValues=FALSE)
``` |