Description Usage Arguments Value References See Also Examples
Number of parameters shared across components of a given parameterized Gaussian mixture model, that is not counting the mixture parameters
1 2 | nMclustParamsShared <- function (modelName, d, noise = FALSE,
...)
|
modelName |
A character string indicating the model to be fitted
in the EM phase of clustering. The help file for
|
d |
Number of variables in the data. |
noise |
A logical or numeric vector indicating an initial guess as to which observations are noise in the data. If numeric the entries should correspond to row indexes of the data. If supplied, a noise term will be added to the model in the estimation. |
... |
Catches unused arguments in indirect or list calls via |
Return an object of class 'numeric'
, which is the number of parameters shared across components excluding the mixture parameters.
Scrucca L., Fop M., Murphy T. B. and Raftery A. E. (2016) mclust 5: clustering, classification and density estimation using Gaussian finite mixture models, The R Journal, 8/1, pp. 289-317.
Drton M. and Plummer M. (2017) A Bayesian information criterion for singular models, Journal of the Royal Statistical Society, Series B, 79, Part 2, pp. 323-380.
Fraley C. and Raftery A. E. (2002) Model-based clustering, discriminant analysis and density estimation, Journal of the American Statistical Association, 97/458, pp. 611-631.
Fraley C., Raftery A. E., Murphy T. B. and Scrucca L. (2012) mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.
mclustSBIC
,
mclustMaxLik
,
mclustSBIClearnCoeff
,
nMclustParamsComp
,
priorControl
,
emControl
,
mclustModel
,
summary.mclustBIC
,
hc
,
me
,
mclustModelNames
,
mclust.options
1 | irisParamsShared = nMclustParamsShared(modelName = 'VEV', d = ncol(iris[,-5]))
|
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