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

Print an object generated by <code><a href="lqm.html">lqm</a></code> or <code><a href="lqm.counts.html">lqm.counts</a></code>.

## S3 method for class 'lqm'
print(x, digits = max(6, getOption("digits")), ...)

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

an <code>lqm</code> or <code>lqm.counts</code> object.

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

a non-null value for digits specifies the minimum number of significant digits to be printed in values.

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

not used.

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

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

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

`x`	an `lqm` or `lqm.counts` object.
`digits`	a non-null value for digits specifies the minimum number of significant digits to be printed in values.
`...`	not used.

print.lqm

Description

Usage

Arguments

Author(s)

See Also

lqmm

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