trout

The data set trout, which follows, includes the average numbers of Lahontan
cutthroat trout per meter of stream, and the width-to-depth ratios for 71 samples

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

trout function

A data frame with with 71 rows and 2 columns<dl class="dl-horizontal">
<dt>wdratio</dt><dd>Width-to-depth ratio of trout</dd>
<dt>density</dt><dd>Numbers of Lahontan cutthroat trout per meter of stream</dd>
</dl>

Format

Fish habbit of trout — trout

A data frame with with 71 rows and 2 columns<dl class='dl-horizontal'>
<dt>wdratio</dt><dd>Width-to-depth ratio of trout</dd>
<dt>density</dt><dd>Numbers of Lahontan cutthroat trout per meter of stream</dd>
</dl>

trout: Fish habbit of trout

Description

Arguments

Format