residuals.midrq

This function computes the residuals from a fitted mid-quantile regression model.

residuals

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

residuals.midrq function

<dl> <dt>object</dt>
<dd>an <code>midrq</code> object.</dd>
 <dt>...</dt>
<dd>not used.</dd></dl>

Arguments

Author

Residuals from a midrq Objects — residuals.midrq

<dl>

 <dt>object</dt>
<dd>an <code>midrq</code> object.</dd>


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

</dl>

residuals.midrq: Residuals from a midrq Objects

Description

Usage

Value

Arguments

Author

See Also