priorControl {mclust} | R Documentation |
Specify a conjugate prior for Gaussian mixtures.
priorControl(functionName = "defaultPrior", ...)
functionName |
The name of the function specifying the conjugate prior.
The default function is |
... |
Optional named arguments to the function specified in |
priorControl
is used to specify a conjugate prior
for EM within MCLUST.
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 (2005). Bayesian regularization for normal mixture estimation and model-based clustering. Technical Report, Department of Statistics, University of Washington.
C. Fraley and A. E. Raftery (2007). Bayesian regularization for normal mixture estimation and model-based clustering. Journal of Classification 24:155-181.
C. Fraley and A. E. Raftery (2006). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.
C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631.
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])