Description Usage Arguments Value Author(s) References See Also Examples

The function verifies the numerical range and dimension of the NBM paramters alpha, beta, and wght and returns the number of components. It is used in `nbm_em`

before running EM.

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`alpha` |
Expected a vector of positive values with length equal to that of beta and wght. |

`beta` |
Expected a vector of positive values with length equal to that of alpha and wght. |

`wght` |
Expected a vector of probabilities ( |

`N` |
Number of components or equivalently the length of alpha, beta, or wght. |

Yue Li

Christopher Bishop. Pattern recognition and machine learning. Number 605-631 in Information Science and Statisitcs. Springer Science, 2006.

Capp\'e, O. (2001). H2M : A set of MATLAB/OCTAVE functions for the EM estimation of mixtures and hidden Markov models. (http://perso.telecom-paristech.fr/cappe/h2m/)

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