# Part of the "parental" package, http://github.com/rjbgoudie/parental
#
# This software is distributed under the GPL-3 license. It is free,
# open source, and has the attribution requirements (GPL Section 7) in
# http://github.com/rjbgoudie/parental
#
# Note that it is required that attributions are retained with each function.
#
# Copyright 2008 Robert J. B. Goudie, University of Warwick
context("Slow Sample")
test_that("simulate2", {
net <- bn(c(3, 4), NULL, 4, 2)
# 2 --> 4 --> 1
# | ^
# 3 ----|
cpt <- list(
as.table(array(c(
# prob of 1 then 2 given
0.7, 0.3, # 3 = 1, 4 = 1
0.6, 0.4, # 3 = 2, 4 = 1
0.3, 0.6, # 3 = 1, 4 = 2
0.3, 0.7 # 3 = 2, 4 = 2
), c(2, 2, 2))),
as.table(array(c(
0.6, # prob of 1
0.4 # prob of 2
), 2)),
as.table(array(c(
# prob of 1 then 2 given
0.6, 0.4, # 4 = 1
0.4, 0.6 # 4 = 2
), c(2, 2))),
as.table(array(c(
# prob of 1 then 2 given
0.6, 0.4, # 2 = 1
0.4, 0.6 # 2 = 2
), c(2, 2)))
)
sim <- simulate(object = net, nsim = 1000, ptables = cpt)
tcol <- function(i) as.vector(table(sim[, i]))
expect_that(tcol(2)[1], is_within(600, 50))
expect_that(tcol(4)[1], is_within(520, 50))
})
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