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>Print summary of an <code>lqm</code> object.</p>

## S3 method for class 'summary.lqm'
print(x, ...)

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

<p>a <code>summary.lqm</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="summary.lqm.html">summary.lqm</a></code>
</p>

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

`x`	a `summary.lqm` object.
`...`	not used.

print.summary.lqm

Description

Usage

Arguments

Author(s)

See Also

lqmm

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