`nMclustParams.Rd`

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, ...)`

- 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`

.

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

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.

```
mapply(nMclustParams, mclust.options("emModelNames"), d = 2, G = 3)
#> 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
```