# Copyright 2022-2023 Integrated Ecological Research and Poisson Consulting Ltd.
# Copyright 2024 Province of Alberta
#
# 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
#
# http://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("recruitment ml works", {
skip_on_os(c("windows", "linux"))
skip_on_covr()
inits <- list(
b0 = -1.5,
sAnnual = 0.1
)
x <- bboudata::bbourecruit_a
fit <- bb_fit_recruitment_ml(
data = x,
quiet = TRUE,
adult_female_proportion = 0.5,
inits = inits
)
expect_s3_class(fit, "bboufit_ml")
expect_identical(names(fit), c("summary", "mle", "model", "data", "model_code"))
expect_s4_class(fit$summary, "AGHQuad_summary")
expect_s4_class(fit$mle, "OptimResultNimbleList")
expect_setequal(pars(fit), c("b0", "bAnnual", "sAnnual"))
expect_snapshot_data(coef(fit), "default")
})
test_that("fails with multiple populations", {
x <- rbind(bboudata::bbourecruit_a, bboudata::bbourecruit_b)
expect_chk_error(bb_fit_recruitment_ml(x, quiet = TRUE), "'PopulationName' can only contain one unique value.")
})
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