Data on 102 male and 100 female athletes collected at the Austrialian
Institute of Sports

dataset

Diagnostics methods for quantile regression models for detecting influential observations:
robust distance methods for general quantile regression models; generalized Cook's distance and
Q-function distance method for quantile regression models using aymmetric Laplace distribution. Reference
of this method can be found in Luis E. Benites, V<c3><ad>ctor H. Lachos, Filidor E. Vilca (2015) <arXiv:1509.05099v1>;
mean posterior probability and Kullback<e2><80><93>Leibler divergence methods for Bayes quantile regression model.
Reference of this method is Bruno Santos, Heleno Bolfarine (2016) <arXiv:1601.07344v1>.

Wenjing Wang

quokar

Quantile Regression Outlier Diagnostics with K Left Out Analysis

ais function

A data frame with 202 observations on the following 14 variables<dl class="dl-horizontal">
<dt>Sex</dt><dd>0 = male, 1 = female</dd>
<dt>Ht</dt><dd>height(cm)</dd>
<dt>Wt</dt><dd>weightkg</dd>
<dt>LBM</dt><dd>lean body mass</dd>
<dt>RCC</dt><dd>red cell count</dd>
<dt>WCC</dt><dd>white cell count</dd>
<dt>Hc</dt><dd>Hematocrit</dd>
<dt>Hg</dt><dd>Hemoglobin</dd>
<dt>Ferr</dt><dd>plasma ferritin concentration</dd>
<dt>BMI</dt><dd>body mass index, weight/(height)^2</dd>
<dt>SSF</dt><dd>sum of skin folds</dd>
<dt>Bfat</dt><dd>Percent body fat</dd>
<dt>Label</dt><dd>Case Lables</dd>
<dt>Sport</dt><dd>Sport</dd>
</dl>

Format

Australia Institute of Sport data — ais

A data frame with 202 observations on the following 14 variables<dl class='dl-horizontal'>
<dt>Sex</dt><dd>0 = male, 1 = female</dd>
<dt>Ht</dt><dd>height(cm)</dd>
<dt>Wt</dt><dd>weightkg</dd>
<dt>LBM</dt><dd>lean body mass</dd>
<dt>RCC</dt><dd>red cell count</dd>
<dt>WCC</dt><dd>white cell count</dd>
<dt>Hc</dt><dd>Hematocrit</dd>
<dt>Hg</dt><dd>Hemoglobin</dd>
<dt>Ferr</dt><dd>plasma ferritin concentration</dd>
<dt>BMI</dt><dd>body mass index, weight/(height)^2</dd>
<dt>SSF</dt><dd>sum of skin folds</dd>
<dt>Bfat</dt><dd>Percent body fat</dd>
<dt>Label</dt><dd>Case Lables</dd>
<dt>Sport</dt><dd>Sport</dd>
</dl>

ais: Australia Institute of Sport data

Description

Arguments

Format

References