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

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

## 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.

...

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.

## References

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.

## See also

bic, nMclustParams.

## Examples

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