pgmm: Parsimonious Gaussian Mixture Models
In pgmm: Parsimonious Gaussian Mixture Models
pgmm R Documentation
Parsimonious Gaussian Mixture Models
Description
An implementation of model-based clustering and model-based classification using parsimonious Gaussian mixture models.
Details
Package: pgmm
Type: Package
Version: 1.2.6
Date: 2023-09-25
License: GPL (>=2)
This package contains the function pgmmEM plus three data sets.
Author(s)
Paul D. McNicholas [aut, cre], Aisha ElSherbiny [aut], K. Raju Jampani [ctb], Aaron McDaid [aut], Brendan Murphy [aut], Larry Banks [ctb].
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>
See Also
Details, examples, and references are given under pgmmEM.
pgmm documentation built on Sept. 26, 2023, 1:06 a.m.
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| pgmm | R Documentation |
Parsimonious Gaussian Mixture Models
Description
An implementation of model-based clustering and model-based classification using parsimonious Gaussian mixture models.
Details
| Package: | pgmm |
| Type: | Package |
| Version: | 1.2.6 |
| Date: | 2023-09-25 |
| License: | GPL (>=2) |
This package contains the function pgmmEM plus three data sets.
Author(s)
Paul D. McNicholas [aut, cre], Aisha ElSherbiny [aut], K. Raju Jampani [ctb], Aaron McDaid [aut], Brendan Murphy [aut], Larry Banks [ctb].
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>
See Also
Details, examples, and references are given under pgmmEM.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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