context("Multi-weight cdf")
library("SWIM")
################ stress ################
set.seed(0)
x <- as.data.frame(cbind(
"log.normal" = rlnorm(1000),
"gamma" = rgamma(1000, shape = 2),
"normal" = rnorm(1000)))
res <- stress(type = "VaR", x = x, alpha = 0.9, q_ratio = 1.2)
grid <- seq(min(x$normal), max(x$normal), length.out = 5)
s1 <- cdf_stressed(res, xCol = 1, wCol = "all", grid = grid, base = TRUE)
################ stress ################
# format test
test_that("output", {
expect_true(is.matrix(s1))
expect_equal(rownames(s1), c("stress 1", "base"))
})
# value test
test_that("output", {
colnames(s1) <- NULL # remove col names to compare
expect_equal(stats::ecdf(x$log.normal)(grid), s1["base", ])
}
)
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