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.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | doSNOW,foreach,snow,TSdist,tidyr,data.table,expint,zipfR,mclust,rlist,withr |
| Published: | 2021-10-20 |
| DOI: | 10.32614/CRAN.package.SenTinMixt |
| Author: | Salvatore D. Tomarchio [aut, cre], Bagnato Luca [aut], Antonio Punzo [aut] |
| Maintainer: | Salvatore D. Tomarchio <daniele.tomarchio at unict.it> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | SenTinMixt results |
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