mixdens: Density of multivariate Gaussian mixture, mclust...
In fpc: Flexible Procedures for Clustering

mixdens

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 christian.hennig@unibo.it https://www.unibo.it/sitoweb/christian.hennig/en/

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)

fpc documentation built on Sept. 24, 2024, 9:07 a.m.