permutation_test: Create permuted samples to calculate p-value

In jihuilee/VCERGM:

Description

Create permuted samples to calculate p-value

Usage

permutation_test(object, networks, attr = NULL, teststat, Delta = NULL,
  directed = FALSE, degree.spline = 3, interior.knot = 3,
  lambda.range = seq(-3, 3, by = 0.1), NPerm = 100, seed = 12345)

Arguments

object	A formula object of the form (network object) ~ <model terms>. Model terms take the same form of ERGM terms from R package 'ergm'.
networks	A list of observed networks. It should have a list() object.
attr	A list of vertex attributes. Default is NULL. (i.e. No attributes)
teststat	Test statistic calculated based on observed networks
directed	TRUE for analyzing directed networks. FALSE for analyzing undirected networks.
degree.spline	Degree of splines. Default is 3 (cubic splines).
interior.knot	Number of interior knots to create splines. Default is 10.
lambda.range	Range of lambda (Tuning parameter). Default is seq(-3, 3, by = 0.1).
NPerm	Number of permuted samples. Default is 100.
seed	Seed number used to simulate bootstrap samples. Default is 12345.

jihuilee/VCERGM documentation built on Oct. 9, 2019, 5:23 p.m.