Description Usage Arguments Value References See Also Examples
Model names to be used in the upclass package for univariate and multivariate data.
1 | modelvec(d = 1)
|
d |
The dimension of the data. By default, |
if d=1
, returned is a vector with the first two of the following components only; otherwise, they are omitted and the vector contains the remaining components:
"E" |
Univariate, equal variance |
"V" |
Univariate, variable variance |
"EII" |
Multivariate, equal volume and spherical |
"VII" |
Multivariate, variable volume and spherical |
"EEI" |
Multivariate, equal volume, equal shape and axis aligned |
"VEI" |
Multivariate, variable volume, equal shape and axis aligned |
"EVI" |
Multivariate, equal volume, variable shape and axis aligned |
"VVI" |
Multivariate, variable volume, variable shape and axis aligned |
"EEE" |
Multivariate, equal volume, equal shape and equal orientation |
"EEV" |
Multivariate, equal volume, equal shape and variable orientation |
"VEV" |
Multivariate, variable volume, equal shape and variable orientation |
"VVV" |
Multivariate, variable volume, variable shape and variable orientation |
Banfield, J.D. and Raftery, A.E. (1993). Model based Gaussian and non-gaussian clustering. Biometrics, 49 (3): 803-821.
Fraley, C. and Raftery, A.E. (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the Americal Statistical Association 97 (458), 611-631.
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