summary.qrr

This functions gives a summary list for a quantile ratio regression model.

 Bootstrap

 summary

Functions for unconditional and conditional quantiles. These
include methods for transformation-based quantile regression,
quantile-based measures of location, scale and shape, methods for quantiles
of discrete variables, quantile-based multiple imputation, restricted
quantile regression, directional quantile classification, and quantile
ratio regression.
A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.

Marco Geraci

Qtools

Utilities for Quantiles

Alessio Farcomeni

Cinzia Viroli

summary.qrr function

<dl> <dt>object</dt>
<dd>an object of <code><a href="/link/class?package=Qtools&version=1.5.8" data-mini-rdoc="Qtools::class">class</a></code> <code>summary.qrr</code>.</dd> <dt>se</dt>
<dd>specifies the method used to compute standard errors. See argument <code>method</code> in <code>vcov.qrr</code>.</dd> <dt>R</dt>
<dd>number of bootstrap replications.</dd> <dt>update</dt>
<dd>see argument <code>update</code> in <code>vcov.qrr</code>.</dd> <dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Author

Summary for Quantile Ratio Regression Models — summary.qrr

<dl>

 <dt>object</dt>
<dd>an object of <code><a href='https://rdrr.io/r/base/class.html'>class</a></code> <code>summary.qrr</code>.</dd>

 <dt>se</dt>
<dd>specifies the method used to compute standard errors. See argument <code>method</code> in <code>vcov.qrr</code>.</dd>

 <dt>R</dt>
<dd>number of bootstrap replications.</dd>

 <dt>update</dt>
<dd>see argument <code>update</code> in <code>vcov.qrr</code>.</dd>

 <dt>...</dt>
<dd>not used.</dd>

</dl>

summary.qrr: Summary for Quantile Ratio Regression Models

Description

Usage

Arguments

Author

References

See Also