Nothing
# value of information
# library(dplyr)
# library(reshape2)
test_that("simple data", {
load(test_path("ce.RData"))
# only one intervention
# limiting case
U <- array(c(1,1,1,1,1,1),
dim = c(3,2,1)) # sim, k, ints
Ustar <- array(c(1,1,1,
1,1,1),
dim = c(3,2)) # sim, k
expect_error(
compute_vi(Ustar, U))
U <- array(c(1,1,1,1,1,1,
0,0,0,0,0,0),
dim = c(3,2,2))
Ustar <- array(c(1,1,1,
1,1,1),
dim = c(3,2))
expect_equal(
compute_vi(Ustar, U),
array(c(0,0,0,0,
0,0,0,0),
dim = c(3,2)))
U <- array(c(1,1,1,1,1,1,
2,2,2,2,2,2),
dim = c(3,2,2))
expect_equal(
compute_vi(Ustar, U),
array(c(-1,-1,-1,-1,
-1,-1,-1,-1),
dim = c(3,2)))
})
test_that("call via bcea", {
load(test_path("ce.RData"))
res <-
bcea(e = eff,
c = cost)
vi <- res$vi
n_sim <- nrow(cost)
expect_equal(dim(vi), c(n_sim, length(res$k)))
})
test_that("errors in dimensions", {
U <- array(c(1,1,1,1,1,1,
0,0,0,0,0,0),
dim = c(3,2,2))
Ustar <- array(c(1,1,
1,1),
dim = c(2,2))
expect_error(
compute_vi(Ustar, U))
Ustar <- array(c(1,1,1,
1,1,1,
1,1,1),
dim = c(3,3))
expect_error(
compute_vi(Ustar, U))
})
test_that("using sim_table", {
load(test_path("ce.RData"))
res <-
bcea(e = eff,
c = cost)
tab <- sim_table(res)$Table
ol <- tab$`U*` - tab$U2
vi <- tab$`U*` - mean(tab$U2)
expect_equivalent(apply(tab[,c("OL","VI")], 2, mean),
c(mean(vi), mean(ol)))
})
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