R: Density of multivariate Gaussian mixture, mclust...

mixdens {fpc} | R Documentation

## Density of multivariate Gaussian mixture, mclust parameterisation

### Description

Computes density values for data from a mixture of multivariate Gaussian distributions with parameters based on the way models are specified and parameters are stored in package mclust.

### Usage

      mixdens(modelName,data,parameters)

### Arguments

`modelName` | an mclust model name. See `mclustModelNames`.
`data` | data matrix; density values are computed for every observation (row).
`parameters` | parameters of Gaussian mixture in the format used in the output of `summary.mclustBIC`.

### Value

Vector of density values for the observations.

### Author(s)

Christian Hennig c.hennig@ucl.ac.uk http://www.homepages.ucl.ac.uk/~ucakche/

### Examples

      set.seed(98765)
      require(mclust)
      iriss <- iris[sample(150,20),-5]
      irisBIC <- mclustBIC(iriss)
      siris <- summary(irisBIC,iriss)
      round(mixdens(siris$modelName,iriss,siris$parameters),digits=2)

[Package fpc version 2.1-10 Index]