Functions to fit quantile regression models for hierarchical
data (2-level nested designs) as described in Geraci and
Bottai (2014, Statistics and Computing) <doi:10.1007/s11222-013-9381-9>.
A vignette is given in Geraci (2014, Journal of Statistical Software)
<doi:10.18637/jss.v057.i13> and included in the package documents.
The packages also provides functions to fit quantile models for
independent	data and for count responses.

Linear Quantile Mixed Models

package-ubuntu-20.04-r-4.0.5#cran#lqmm-1.5.5

<p>This function computes the residuals from a fitted linear quantile model.
</p>

## S3 method for class 'lqm'
residuals(object, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>

<p>an <code>lqm</code> or <code>lqm.counts</code> object.
</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>

<p>not used.
</p>
</td>
</tr>
</table>

<p><code><a href="lqm.html">lqm</a></code>, <code><a href="lqm.counts.html">lqm.counts</a></code>, <code><a href="predict.lqm.html">predict.lqm</a></code>, <code><a href="coef.lqm.html">coef.lqm</a></code>
</p>

package-ubuntu-20.04-r-4.0.5#cran#lqmm-1.5.5#docs#residuals.lqm

`object`	an `lqm` or `lqm.counts` object.
`...`	not used.

residuals.lqm

Description

Usage

Arguments

Value

Author(s)

See Also

lqmm

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