nVarParams {mclust} | R Documentation |
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)