Nothing
context("racusum_arl_beta_arl_mc")
test_that("Different Markov Chain algorithms, detecting deterioration", {
skip_on_cran()
skip_if(SKIP == TRUE, "skip this test now")
h <- 4.5
RA <- 2
g0 <- -3.6798
g1 <- 0.0768*71
shape1 <- 1
shape2 <- 3
r <- 600
expected_results <- 4474.738
MCtest <- list(
racusum_beta_arl_mc(h=h, RA=RA, g0=g0, g1=g1, shape1=shape1, shape2=shape2, r=r, method=1),
racusum_beta_arl_mc(h=h, RA=RA, g0=g0, g1=g1, shape1=shape1, shape2=shape2, r=r, method=2)
)
lapply(MCtest, function(x) expect_equal(x, expected_results, tolerance = 10^-6) )
})
test_that("Different Markov Chain algorithms, detecting improvement", {
skip_on_cran()
skip_if(SKIP == TRUE, "skip this test now")
h <- 4.5
RA <- 1/2
g0 <- -3.6798
g1 <- 0.0768*71
shape1 <- 1
shape2 <- 3
r <- 600
expected_results <- 5658.854
MCtest <- list(
racusum_beta_arl_mc(h=h, RA=RA, g0=g0, g1=g1, shape1=shape1, shape2=shape2, r=r, method=1),
racusum_beta_arl_mc(h=h, RA=RA, g0=g0, g1=g1, shape1=shape1, shape2=shape2, r=r, method=2)
)
lapply(MCtest, function(x) expect_equal(x, expected_results, tolerance = 10^-6) )
})
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