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SenTinMixt: Parsimonious Mixtures of MSEN and MTIN Distributions
Implements parsimonious mixtures of MSEN and MTIN distributions via expectation- maximization based algorithms for model-based clustering. For each mixture component, parsimony is reached via the eigen-decomposition of the scale matrices and by imposing a constraint on the tailedness parameter. This produces a family of 28 parsimonious mixture models for each distribution.
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Package details |
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| Author | Salvatore D. Tomarchio [aut, cre], Bagnato Luca [aut], Antonio Punzo [aut] |
| Maintainer | Salvatore D. Tomarchio <daniele.tomarchio@unict.it> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
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