Nothing
context("IT lognormal")
guts <- guts_setup(
C = c(4, 2, 4, 6, 6),
Ct = seq_len(5) - 1,
y = c(10,3,2,1,0),
yt = seq_len(5) - 1,
dist = "lognormal",
model = "IT"
)
para <- c(hb = 0, kd = 1.3, t1 = 3, t2 = 2)
#print(guts)
test_that("new and old versions are similar (up to tolerance 1e-3)", {
expect_equal(
guts_calc_survivalprobs(guts, par = para),
c(1.00000000, 0.63369535, 0.40483971, 0.15860946, 0.09072692),
tolerance = 1e-3
)
expect_equal(
guts_calc_loglikelihood(guts, par = para),
-12.59616,
tolerance = 1e-3
)
expect_equal(
guts_report_sppe(guts),
-9.072692,
tolerance = 1e-3
)
expect_equal(
guts_report_squares(guts),
16.49783,
tolerance = 1e-3
)
})
withr::with_seed(1,{
data(diazinon)
gts.lognormal <- guts_setup(
C = diazinon$C1, Ct = diazinon$Ct1,
y = diazinon$y1, yt = diazinon$yt1,
dist = "lognormal", model = "IT")
sigma2 <- log( 1 + 6.495^2 / 19.099^2)
mu <- log(19.099) - 0.5 * sigma2
lognormal.thresholds <- sort(rlnorm(10000, meanlog = mu, sdlog = sqrt(sigma2)))
gts.external <- guts_setup(
C = diazinon$C1, Ct = diazinon$Ct1,
y = diazinon$y1, yt = diazinon$yt1,
dist = "external", model = "IT",
study = "Test IT external",
Clevel = "arbitrary")
test_that("lognormal external distribution and internal distribution are similar for diazinon (up to tolerance 1e-2 -- might fail due to random evaluation)", {
expect_equal(
guts_calc_loglikelihood(gts.external, c(0.051, 0.126), lognormal.thresholds),
guts_calc_loglikelihood(gts.lognormal, c(0.051, 0.126, 19.099, 6.495)),
tolerance = 1e-2
)
expect_equal(
guts_calc_survivalprobs(gts.external, c(0.051, 0.126), lognormal.thresholds),
guts_calc_survivalprobs(gts.lognormal, c(0.051, 0.126, 19.099, 6.495)),
tolerance = 1e-2
)
})
test_that("Wrong parameter settings throw error", {
expect_error(
guts_calc_loglikelihood(gts.external, c(0.051, 0.126, 4, 7), lognormal.thresholds)
)
expect_error(
guts_calc_loglikelihood(gts.external, c(0.051, 0.126))
)
expect_error(
guts_calc_survivalprobs(gts.external, c(0.051, 0.126, 4, 7), lognormal.thresholds)
)
expect_error(
guts_calc_survivalprobs(gts.lognormal, c(0.051, 0.126, 19.099, 6.495, 17))
)
expect_error(
guts_calc_loglikelihood(gts.lognormal, 1)
)
})
})
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