Description Usage Arguments Value Note Author(s)

Internal function to execute the subsampling component of
the stochastic stagewise approach. If a user provides a `stochastic`

value between 0 and 1, it is assumed that some proportion of subsampling
is desired. The `samplingDistCalculation`

function calculates the
distribution of the clusters and the `subsample`

function uses that
distribution to draw the actual subsample.

1 | ```
subsample(sampleDist, sampleSize, withReplacement, clusterIDs, clusterID)
``` |

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

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

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

`clusterIDs` |
A vector of all of the UNIQUE cluster IDs |

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

A list with two variables: `subSampleIndicator`

, which
indicates which observations are in the current subsample, and
`clusterIDCurr`

, which indicates the clusterID for the subsample.

Internal function.

While most of the subsample can be determined from the
`subSampleIndicator`

, the `clusterIDCurr`

value has to be
constructed inside the `subsample function`

as the way the cluster
IDs is handled is different depending o n whether we are sampling with
or without replacement.

Gregory Vaughan

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