`nVarParams.Rd`

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

`nVarParams(modelName, d, G, ...)`

- 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`

.- ...
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.

C. Fraley and A. E. Raftery (2002).
Model-based clustering, discriminant analysis, and density estimation.
*Journal of the American Statistical Association 97:611:631*.

C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.

```
mapply(nVarParams, mclust.options("emModelNames"), d = 2, G = 3)
#> EII VII EEI VEI EVI VVI EEE VEE EVE VVE EEV VEV EVV VVV
#> 1 3 2 4 4 6 3 5 5 7 5 7 7 9
```