gs.siem.batch.perm: SIEM for Batch Detection

Description Usage Arguments Value Author(s) See Also

Description

A function that computes a test statistic associated with a particular arrangement of graphs using pairs of edge community estimators estimated by the SIEM.

Usage

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gs.siem.batch.perm(models, Z, i = 1, j = 2, tstat = gs.siem.batch.tstat,
  nperm = 1000)

Arguments

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.

tstat=gs.siem.batch.tstat.delta

the test statistic to use. Should operate on a pair of models.

nperm=1000

the number of permutations for testing.

Value

tstat.alt the test statistic given the current Z orderings.

tstat.null the test statistics of each permutation of the Z orderings.

P the estimator of Etstat.null >= tstat.alt.

Author(s)

Eric Bridgeford

See Also

gs.siem.fit


neurodata/graphstats documentation built on May 14, 2019, 5:19 p.m.