compile_result

This function reports correct percentage, TP, FP, MSE and MAD from a (list of)
fitted qpgee model comparing to the true betas.

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

compile_result function

<dl><dt>qpgee_results</dt>
<dd>A (list of) fitted qpgee model.</dd>
<dt>beta0</dt>
<dd>True beta used in true data generation process.</dd>
<dt>cutoff</dt>
<dd>Integer, the threshold to determine whether a esimated beta should
be consider as 0.</dd></dl>

Arguments

Compile Results from qpgee() — compile_result

<dl>

<dt>qpgee_results</dt>
<dd>A (list of) fitted qpgee model.</dd>


<dt>beta0</dt>
<dd>True beta used in true data generation process.</dd>


<dt>cutoff</dt>
<dd>Integer, the threshold to determine whether a esimated beta should
be consider as 0.</dd>

</dl>

compile_result: Compile Results from qpgee()

Description

Usage

Value

Arguments