Conjugate Prior for Gaussian Mixtures.
Specify a conjugate prior for Gaussian mixtures.
priorControl(functionName = "defaultPrior", ...)
functionName |
The name of the function specifying the conjugate prior.
By default the function |
... |
Optional named arguments to the function specified in |
The function priorControl is used to specify a conjugate prior
for EM within MCLUST.
Note that, as described in defaultPrior, in the multivariate
case only 10 out of 14 models may be used in conjunction with a prior, i.e.
those available in MCLUST up to version 4.4.
A list with the function name as the first component. The remaining components (if any) consist of a list of arguments to the function with assigned values.
C. Fraley and A. E. Raftery (2007). Bayesian regularization for normal mixture estimation and model-based clustering. Journal of Classification 24:155-181.
# default prior irisBIC <- mclustBIC(iris[,-5], prior = priorControl()) summary(irisBIC, iris[,-5]) # no prior on the mean; default prior on variance irisBIC <- mclustBIC(iris[,-5], prior = priorControl(shrinkage = 0)) summary(irisBIC, iris[,-5])
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