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Specify a conjugate prior for Gaussian mixtures.
priorControl(functionName = "defaultPrior", ...)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.
The name of the function specifying the conjugate prior.
By default the function defaultPrior is used, and this
can also be used as a template for alternative specification.
Optional named arguments to the function specified in functionName
together with their values.
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.
C. Fraley and A. E. Raftery (2007). Bayesian regularization for normal mixture estimation and model-based clustering. Journal of Classification 24:155-181.
mclustBIC,
me,
mstep,
defaultPrior
# 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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