Number of Estimated Parameters in Gaussian Mixture Models
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
|
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
|
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 |
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.
mapply(nMclustParams, mclust.options("emModelNames"), d = 2, G = 3)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.