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

<code>coef</code> extracts model coefficients from <code>lqmm</code> objects.

## S3 method for class 'lqmm'
coef(object, ...)

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

a fitted object of <code><a href="../../base/html/class.html">class</a></code> "lqmm".

</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>

not used.

</td>
</tr>
</table>

a vector for single quantiles or a matrix for multiple quantiles.

<code><a href="lqmm.html">lqmm</a></code>
<code><a href="summary.lqmm.html">summary.lqmm</a></code>

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

`object`	a fitted object of `class` "lqmm".
`...`	not used.

coef.lqmm

Description

Usage

Arguments

Value

Author(s)

See Also

lqmm

We don't support your browser anymore