Density of multivariate Gaussian mixture, mclust parameterisation
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.
mixdens(modelName,data,parameters)
modelName |
an mclust model name.
See |
data |
data matrix; density values are computed for every observation (row). |
parameters |
parameters of Gaussian mixture in the format used in
the output of |
Vector of density values for the observations.
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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