`summary`

method for class `npEM`

.

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`object,x` |
an object of class |

`digits` |
Significant digits for printing values |

`...` |
further arguments passed to or from other methods. |

`summary.npEM`

prints means and variances of each block for
each component. These quantities might not be part of the model, but they
are estimated nonparametrically based on the posterior probabilities and the
data.

The function `summary.npEM`

returns a list of type `summary.npEM`

with the following components:

`n` |
The number of observations |

`m` |
The number of mixture components |

`B` |
The number of blocks |

`blockid` |
The block ID (from 1 through B) for each of the coordinates
of the multivariate observations. The |

`means` |
A |

`variances` |
Same as |

Benaglia, T., Chauveau, D., and Hunter, D. R. (2009), An EM-like algorithm
for semi- and non-parametric estimation in multivariate mixtures,
*Journal of Computational and Graphical Statistics*, **18(2)**, 505–526.

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