A dataset containing biometrical measurements for two categories of athletes collected at the Australian Institute of Sport.

datasets

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.

Salvatore D. Tomarchio

SenTinMixt

Parsimonious Mixtures of MSEN and MTIN Distributions

Bagnato Luca

Antonio Punzo

AIS function

A matrix with 202 observations on the following variables:<dl class="dl-horizontal">
<dt>Sex</dt><dd>0 = Male or 1 = Female.</dd>
<dt>Ht</dt><dd>Height (in cm).</dd>
<dt>LBM</dt><dd>Lean body mass (in Kg).</dd>
<dt>RCC</dt><dd>Red cell count.</dd>
<dt>Hc</dt><dd>Hematocrit.</dd>
<dt>Hg</dt><dd>Hemoglobin.</dd>
<dt>SSF</dt><dd>Sum of skin folds.</dd>
<dt>Bfat</dt><dd>Body fat percentage.</dd>
</dl>

Format

Australian institute of sport data — AIS

A matrix with 202 observations on the following variables:<dl class='dl-horizontal'>
<dt>Sex</dt><dd>0 = Male or 1 = Female.</dd>
<dt>Ht</dt><dd>Height (in cm).</dd>
<dt>LBM</dt><dd>Lean body mass (in Kg).</dd>
<dt>RCC</dt><dd>Red cell count.</dd>
<dt>Hc</dt><dd>Hematocrit.</dd>
<dt>Hg</dt><dd>Hemoglobin.</dd>
<dt>SSF</dt><dd>Sum of skin folds.</dd>
<dt>Bfat</dt><dd>Body fat percentage.</dd>
</dl>

AIS: Australian institute of sport data

Description

Usage

Arguments

Format

References