summary.boot.lqmm

an object of <code><a rd-options="" href="/link/class?package=lqmm&version=1.5.8" data-mini-rdoc="lqmm::class">class</a></code> <code>lqmm</code>.

object

numeric value for the interval confidence level (<code>1-alpha</code>).

alpha

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

digits

&#8230;

This function gives a summary of a botstrapped <code>lqmm</code> object

bootstrap

summary

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.

Marco Geraci

lqmm

Linear Quantile Mixed Models

summary.boot.lqmm function

an object of <code><a rd-options='' href='class'>class</a></code> <code>lqmm</code>.

summary.boot.lqmm: Summary for a `boot.lqmm` Object

Description

Usage

Arguments

References

See Also