print.summary.qpgee

Print summary method for qpgee model objects

To provide a comprehensive analysis of high dimensional longitudinal
data,this package provides analysis for any combination of 1) simultaneous
variable selection and estimation, 2) mean regression or quantile regression
for heterogeneous data, 3) cross-sectional or longitudinal data, 4) balanced
or imbalanced data, 5) moderate, high or even ultra-high dimensional data,
via computationally efficient implementations of penalized generalized
estimating equations.

Tianhai Zu

geeVerse

A Comprehensive Analysis of High Dimensional Longitudinal Data

Brittany Green

Yan Yu

print.summary.qpgee function

<dl><dt>x</dt>
<dd>A `qpgee` model object.</dd>
<dt>digits</dt>
<dd>Default digits.</dd>
<dt>...</dt>
<dd>Additional arguments (not used).</dd></dl>

Arguments

Print summary method for qpgee model objects — print.summary.qpgee

<dl>

<dt>x</dt>
<dd>A `qpgee` model object.</dd>


<dt>digits</dt>
<dd>Default digits.</dd>


<dt>...</dt>
<dd>Additional arguments (not used).</dd>

</dl>

print.summary.qpgee: Print summary method for qpgee model objects

Description

Usage

Value

Arguments