Number of Variance Parameters in Gaussian Mixture Models
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
|
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
|
... |
Catches unused arguments in indirect or list calls via |
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.
The number of variance parameters in the corresponding Gaussian mixture model.
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.