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# Copyright 2021 Environment and Climate Change Canada
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
test_that("lnorm_lnorm", {
test_dist("lnorm_lnorm", qroottolerance = 1e-04)
expect_equal(ssd_plnorm_lnorm(1), 0.329327626965729)
expect_equal(ssd_qlnorm_lnorm(0.75), 3.53332370752762)
set.seed(42)
expect_equal(ssd_rlnorm_lnorm(2), c(0.568531719998709, 1.43782047983794))
})
test_that("ssd_qlnorm_lnorm allows reversed distributions", {
expect_equal(
ssd_qlnorm_lnorm(0.05, meanlog1 = 0, meanlog2 = 1, pmix = 0.1),
ssd_qlnorm_lnorm(0.05, meanlog1 = 1, meanlog2 = 0, pmix = 0.9)
)
})
test_that("ssd_plnorm_lnorm allows reversed distributions", {
expect_equal(
ssd_plnorm_lnorm(1, meanlog1 = 0, meanlog2 = 1, pmix = 0.1),
ssd_plnorm_lnorm(1, meanlog1 = 1, meanlog2 = 0, pmix = 0.9)
)
})
test_that("ssd_rlnorm_lnorm allows reversed distributions", {
set.seed(10)
r1 <- ssd_rlnorm_lnorm(1, meanlog1 = 0, meanlog2 = 1, pmix = 0.1)
set.seed(10)
r2 <- ssd_rlnorm_lnorm(1, meanlog1 = 1, meanlog2 = 0, pmix = 0.9)
expect_equal(r1, r2)
})
test_that("lnorm_lnorm fits anonb", {
set.seed(99)
data <- ssddata::anon_b
fit <- ssd_fit_dists(data, dists = c("lnorm_lnorm"),
at_boundary_ok = FALSE, min_pmix = 0.05)
tidy <- tidy(fit)
testthat::skip_on_os("windows")
testthat::skip_on_os("linux")
testthat::skip_on_os("solaris")
expect_snapshot_data(tidy, "tidy_anonb")
expect_snapshot_plot(ssd_plot(data, predict(fit), ci = FALSE), "plot_anonb")
})
test_that("lnorm_lnorm positive q with extreme distribution", {
expect_equal(qlnorm_lnorm_ssd(0.05, meanlog1 = -10.39362, sdlog1 = 0.399835,
meanlog2 = -4.76721, sdlog2 = 2.583824, pmix = 0.1308133), 2.49076867209839e-05)
})
test_that("lnorm_lnorm positive q with extreme large distribution", {
expect_equal(qlnorm_lnorm_ssd(0.99, meanlog1 = -4.76721, sdlog1 = 0.399835,
meanlog2 = 100.39362, sdlog2 = 2.583824, pmix = 0.1308133), 1.41684268426224e+46)
})
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