meE(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meV(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meEII(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meVII(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meEEI(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meVEI(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meEVI(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meVVI(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meEEE(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meEEV(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meVEV(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
meVVV(data, z, prior=NULL, control=emControl(),
Vinv=NULL, warn=NULL, ...)
[i,k]
th entry is the
conditional probability of the ith observation belonging to
the kth component of the mixture.emControl()
.hypvol
w.Mclust$warn
.do.call
.[i,k]
th entry is the
conditional probability of the ith observation belonging to
the kth component of the mixture."info"
Information on the iteration."WARNING"
An appropriate warning if problems are encountered in the computations.C. Fraley and A. E. Raftery (2002a). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631. 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.
em
,
me
,
estep
,
mclustOptions
meVVV(data = iris[,-5], z = unmap(iris[,5]))
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