Gives the number of estimated parameters for parameterizations of the
Gaussian mixture model that are used in MCLUST.

nMclustParams(modelName, d, G, noise = FALSE, equalPro = FALSE, ...)

## Arguments

modelName |
A character string indicating the model. The help file for
`mclustModelNames` describes the available models. |

d |
The dimension of the data. Not used for models in which neither
the shape nor the orientation varies. |

G |
The number of components in the Gaussian mixture model used to compute
`loglik` . |

noise |
A logical variable indicating whether or not the model includes an
optional Poisson noise component. |

equalPro |
A logical variable indicating whether or not the components in the
model are assumed to be present in equal proportion. |

... |
Catches unused arguments in indirect or list calls via `do.call` . |

## Value

The number of variance parameters in the corresponding Gaussian mixture
model.

## Details

To get the total number of parameters in model, add `G*d`

for the
means and `G-1`

for the mixing proportions if they are unequal.

## See also

## Examples

#> EII VII EEI VEI EVI VVI EEE VEE EVE VVE EEV VEV EVV VVV
#> 9 11 10 12 12 14 11 13 13 15 13 15 15 17