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.
- Version1.0.0
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release10/20/2021
Team
Salvatore D. Tomarchio
Antonio Punzo
Show author detailsRolesAuthorBagnato Luca
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- Imports11 packages