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This class pertains to results of the application of function MGHD,MCGHD,MSGHD,cMSGHD.
MGHD
MCGHD
MSGHD
cMSGHD
Bayesian information criterion value for each combination of G and q.
Bayesian information criterion value.
A list of the model parameters.
The log-likelihood values.
A vector of integers indicating the maximum a posteriori classifications for the best model.
A matrix giving the raw values upon which map is based.
A string indicating the used method: MGHD, MGHFA, MSGHD, cMSGHD, MCGHD.
A matrix or data frame such that rows correspond to observations and columns correspond to variables.
(only for MCGHD)A list of the model parameters in the rotated space.
signature(x = "MixGHD", y = "missing")
S4 method for plotting objects of MixGHD-class.
MixGHD-class
Plot the loglikhelyhood vale for each iteration of the EM algorithm. If p=2 it shows a contour plot. If 2<p<10 shows a splom of the data colored according to the cluster membership.
MixGHD-class,MGHD,MCGHD,MSGHD,cMSGHD,MGHFA
MGHFA
# NOT RUN { ##loading banknote data data(bankruptcy) ##model estimation model=MSGHD(bankruptcy[,2:3],G=2,max.iter=30) #result summary(model) plot(model) # }
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