Description Usage Arguments Value Author(s) References Examples

By use of the Pi-function in Ray and Lindsay, 2005, locations of two-component Gaussian mixture density extrema or saddlepoints are computed.

1 2 | ```
piridge.zeroes(prop, mu1, mu2, Sigma1, Sigma2, alphamin=0,
alphamax=1,by=0.001)
``` |

`prop` |
proportion of mixture component 1. |

`mu1` |
mean vector of component 1. |

`mu2` |
mean vector of component 2. |

`Sigma1` |
covariance matrix of component 1. |

`Sigma2` |
covariance matrix of component 2. |

`alphamin` |
minimum alpha value. |

`alphamax` |
maximum alpha value. |

`by` |
interval between alpha-values where to look for extrema. |

list with components

`number.zeroes` |
number of zeroes of Pi-function, i.e., extrema or saddlepoints of density. |

`estimated.roots` |
estimated |

Christian Hennig christian.hennig@unibo.it https://www.unibo.it/sitoweb/christian.hennig/en/

Ray, S. and Lindsay, B. G. (2005) The Topography of Multivariate
Normal Mixtures, *Annals of Statistics*, 33, 2042-2065.

1 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.