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# File tests/testthat/test-stocapprox.R in package ergm, part of the
# Statnet suite of packages for network analysis, https://statnet.org .
#
# This software is distributed under the GPL-3 license. It is free,
# open source, and has the attribution requirements (GPL Section 7) at
# https://statnet.org/attribution .
#
# Copyright 2003-2023 Statnet Commons
################################################################################
options(ergm.eval.loglik=FALSE)
data(florentine)
test_that("Stochastic Approximation produces similar results to MCMLE (linear ERGM)",{
set.seed(2)
mod.sa <- ergm(flomarriage~edges+triangle,control=control.ergm(main.method="Stochastic-Approximation"))
mod.mcmle <- ergm(flomarriage~edges+triangle)
expect_equal(coef(mod.sa), coef(mod.mcmle), tolerance = 0.1, ignore_attr=TRUE)
})
test_that("Stochastic Approximation produces similar results to MCMLE (curved ERGM)",{
set.seed(3)
mod.sa <- ergm(flomarriage~edges+gwdegree(),control=control.ergm(main.method="Stochastic-Approximation"))
mod.mcmle <- ergm(flomarriage~edges+gwdegree())
expect_equal(coef(mod.sa), coef(mod.mcmle), tolerance = 0.1, ignore_attr=TRUE)
})
test_that("Stochastic Approximation produces similar results to MCMLE (valued ERGM)",{
set.seed(2)
flomarriage %e% "w" <- 1
mod.sa <- ergm(flomarriage~edges+transitiveweights, response="w", reference=~DiscUnif(0,1), control=control.ergm(main.method="Stochastic-Approximation"))
mod.mcmle <- ergm(flomarriage~edges+transitiveweights, response="w", reference=~DiscUnif(0,1))
expect_equal(coef(mod.sa), coef(mod.mcmle), tolerance = 0.1, ignore_attr=TRUE)
})
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