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# File tests/testthat/test-gflomiss.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
################################################################################
library(statnet.common)
opttest({
data(florentine)
run.test <- function() {
##
## Create random 5% missing
##
#mflomarriage <- rergm(network.size(flomarriage),prob=0.05, directed=FALSE)
#flomarriage <- set.graph.attribute(flomarriage, "design", mflomarriage)
#summary(flomarriage)
#
# Create random 2 nodes who are non-respondents
#
#respondent <- rmultinom(n=1, size=network.size(flomarriage)-2,
# prob=rep(1,network.size(flomarriage)))
#respondent
respondent <- rep(FALSE,network.size(flomarriage))
respondent[sample(1:network.size(flomarriage), size=network.size(flomarriage)-2,replace=FALSE)] <- TRUE
respondent
#
#one <- matrix(1,ncol=1,nrow=network.size(flomarriage))
#orespondent <- one %*% t(respondent) + respondent %*% t(one) - respondent %*% t(respondent)
#orespondent <- 1-orespondent
#diag(orespondent) <- 0
##
#mflomarriage <- graph(orespondent, directed=FALSE)
#summary(mflomarriage)
#sociomatrix(mflomarriage)
#flomarriage <- set.graph.attribute(flomarriage, "design", mflomarriage)
#efit <- ergm(flomarriage ~ edges + kstar(2), control=control.ergm(MCMC.samplesize=1000, MCMC.interval=1000))
efit <- ergm(flomarriage ~ edges + kstar(2), estimate="MPLE")
summary(efit)
flomarriage <- set.vertex.attribute(flomarriage, "respondent", respondent)
rm(respondent)
summary(flomarriage)
efit <- ergm(flomarriage ~ edges + kstar(2), estimate="MPLE")
summary(efit)
efit <- ergm(flomarriage ~ edges + kstar(2), control=control.ergm(MCMC.samplesize=1000, MCMC.interval=1000))
summary(efit)
efit <- ergm(flomarriage ~ edges + kstar(2), control=control.ergm(init=c(-1.6,0)))
#
# edges -1.6 -1.74242 0.8557 0.044 0.041373
# kstar2 0.0 0.02746 0.1774 0.877 0.009076
#
summary(efit)
}
test_that("undirected network with missing data and dyadic dependence", {
expect_error(run.test(), NA)
})
},"undirected network with missing data and dyadic dependence")
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