subsample

A vector whose length is equal to the number of clusters
that indicates the probability of sampling each cluster

sampleDist

A scalar value indicating how larger of a subsample is
being drawn

sampleSize

A logical value indicating whether the
subsampling is beign done with or without replacement

withReplacement

A vector of all of the UNIQUE cluster IDs

clusterIDs

A vector of length equal to the number of observations
indicating which cluster each observation is in

clusterID

Internal function to execute the subsampling component of
the stochastic stagewise approach. If a user provides a <code>stochastic</code>
value between 0 and 1, it is assumed that some proportion of subsampling
is desired. The <code>samplingDistCalculation</code> function calculates the
distribution of the clusters and the <code>subsample</code> function uses that
distribution to draw the actual subsample.

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.

subsample: subsample

Description

Usage

Arguments

Value