gs.siem.batch.tstat: Test Statistic for Batch Detection
In neurodata/graphstats: Graph Statistics

Description Usage Arguments Value Author(s)

A function that computes a test statistic associated with a set of estimators. Given a list of SIEM models and an array of labels, computes the mean estimator for two pairs of the average edge-set estimators (called p and q). For each pair of unique labels in the data set, computes the distance between the pairs of estimators assiciated with the unique labels as D_ij = |p_i - p_j - (q_i - q_j)|.

1	gs.siem.batch.tstat(models, Z, i = 1, j = 2, return = "full")

`models`	[[n]] a list of the models fit to each of the n samples. [[n]: R:[n
`Z`	n an array of the labels associated with each model.
`i=1`	the first edge set to use in the comparison.
`j=2`	the second edge set to use in the comparison.
`return="full"`	How to return the test statistic. "full"return the full distance matrix as the statistic. "max"return the max value of the distance matrix. "mean"return the mean value of the distance matrix. "min"return the min value of the distance matrix.