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

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  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

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  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)

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