deltaFinder

Function to find the appropriate group update. A potential
update value is given and then the corresponding sparse group
lasso penalty value is calculated.

internal

Stagewise techniques implemented with Generalized Estimating Equations to handle individual, group, bi-level, and interaction selection. Stagewise approaches start with an empty model and slowly build the model over several iterations, which yields a 'path' of candidate models from which model selection can be performed. This 'slow brewing' approach gives stagewise techniques a unique flexibility that allows simple incorporation of Generalized Estimating Equations; see Vaughan, G., Aseltine, R., Chen, K., Yan, J., (2017) <doi:10.1111/biom.12669> for details.

Gregory Vaughan

sgee

Stagewise Generalized Estimating Equations

Kun Chen

Jun Yan

deltaFinder function

<dl><dt>a</dt>
<dd>Possbile update value.</dd>
<dt>lambda1</dt>
<dd>Tuning parameter pertaining to importance of groups.</dd>
<dt>lambda2</dt>
<dd>Tuning parameter pertaining to importance of individuals.</dd>
<dt>gamma</dt>
<dd>Scaling / thresholding value.</dd></dl>

Arguments

Author

deltaFinder — deltaFinder

<dl>

<dt>a</dt>
<dd>Possbile update value.</dd>


<dt>lambda1</dt>
<dd>Tuning parameter pertaining to importance of groups.</dd>


<dt>lambda2</dt>
<dd>Tuning parameter pertaining to importance of individuals.</dd>


<dt>gamma</dt>
<dd>Scaling / thresholding value.</dd>

</dl>

deltaFinder: deltaFinder

Description

Usage

Value

Arguments

Author

Details