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SenTinMixt (version 1.0.0)

Parsimonious Mixtures of MSEN and MTIN Distributions

Description

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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Version

Install

install.packages('SenTinMixt')

Monthly Downloads

145

Version

1.0.0

License

GPL (>= 3)

Maintainer

Salvatore D. Tomarchio

Last Published

October 20th, 2021

Functions in SenTinMixt (1.0.0)

rMixt

Random number generation for bidimensional parsimonious mixtures of MSEN or MTIN distributions
dmsen

Density of a MSEN distribution
AIS

Australian institute of sport data
Mixt.fit.init

Initialization for the EM-based algorithms
rmsen

Random number generation for the MSEN distribution
dmtin

Density of a MTIN distribution
rmtin

Random number generation for the MTIN distribution
Mixt.fit

Fitting for parsimonious mixtures of MSEN or MTIN distributions
Hawks

Measurements on Two Hawk Species