deltaFinder

Tuning parameter pertaining to importance of groups.

lambda1

Tuning parameter pertaining to importance of individuals.

lambda2

gamma

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.

deltaFinder: deltaFinder

Description

Usage

Arguments

Value

Details