context("test_get_pip.R")
test_that("PIP computation is correct in light of null weight and estimated prior",{
res = list(alpha = matrix(c(rep(1,10),rep(2,10),rep(3,10))/10, 3, 10, byrow=T), sets=list(cs_index = c(2)), null_index = 10, V = rep(1,3))
class(res) = 'susie'
expect_equal(susie_get_pip(res), rep(0.496, 9))
#
expect_equal(susie_get_pip(res, prune_by_cs=T), rep(0.2, 9))
res$V = rep(0,3)
expect_equal(susie_get_pip(res), rep(0,9))
res$V = rep(1,3)
res$sets$cs_index=NULL
expect_equal(susie_get_pip(res,prune_by_cs=T), rep(0,9))
})
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