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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