Description Usage Arguments Value

Random number generator providing samples from a mixture of Poisson-based distributions in N dimensions.

1 |

`n` |
number of observations to be generated. |

`mu` |
the location parameter matrix; each row corresponds to a separate component distribution |

`rho` |
the concentration parameter vector, with 0 <= rho < 1 |

`alpha` |
the prior probability vector. If sum(alpha) != 1, then alpha is divided by sum(alpha) and a warning is issued. |

`...` |
parameters to be passed to rpkbN |

A list with the following elements:

`data` |
A n X 2 matrix of generated values |

`class` |
An integer vector with class membership |

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