R: Number of Estimated Parameters in Gaussian Mixture Models

nMclustParams {mclust} | R Documentation

## Number of Estimated Parameters in Gaussian Mixture Models

### Description

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

### Usage

    nMclustParams(modelName, d, G, noise = FALSE, equalPro = FALSE, ...)

### 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`.
`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 `do.call`.

### 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.

### Value

The number of variance parameters in the corresponding Gaussian mixture model.

### See Also

`bic`, `nVarParams`.

### Examples

    mapply(nMclustParams, mclust.options("emModelNames"), d = 2, G = 3)

[Package mclust version 5.4.5 Index]