library(future)
library(purrr)
library(dplyr)
plan(multisession, workers = 4)
polymod_setting_data <- get_polymod_setting_data()
polymod_population <- get_polymod_population()
polymod_setting_short <- map(
.x = polymod_setting_data,
.f = function(x) {
x %>% filter(age_from <= 20, age_to <= 20)
}
) |>
new_setting_data()
polymod_population_short <- polymod_population %>% filter(lower.age.limit <= 20)
contact_model <- fit_setting_contacts(
contact_data_list = polymod_setting_short,
population = polymod_population_short
)
contact_model_pred <- predict_setting_contacts(
population = polymod_population_short,
contact_model = contact_model,
age_breaks = c(seq(0, 20, by = 5), Inf)
)
test_that("predict_setting_contact model prints appropriately", {
expect_snapshot(contact_model_pred)
})
# check that you can specify your own population data for school and work demographics
contact_model_diff_data <- fit_setting_contacts(
contact_data_list = polymod_setting_short,
population = polymod_population_short,
school_demographics = conmat_original_school_demographics,
work_demographics = conmat_original_work_demographics
)
test_that("fit_setting_contact model prints appropriately", {
expect_snapshot(contact_model)
})
test_that("list names are kept", {
expect_snapshot(names(contact_model))
expect_snapshot(names(contact_model_pred))
})
test_that("Model fits", {
expect_s3_class(contact_model[[1]], "bam")
expect_s3_class(contact_model[[2]], "bam")
expect_s3_class(contact_model[[3]], "bam")
expect_s3_class(contact_model[[4]], "bam")
})
test_that("Model coefficients are the same", {
expect_snapshot(names(contact_model[[1]]$coefficients))
expect_snapshot(names(contact_model[[2]]$coefficients))
expect_snapshot(names(contact_model[[3]]$coefficients))
expect_snapshot(names(contact_model[[4]]$coefficients))
})
test_that("Matrix dims are kept", {
expect_snapshot(map(contact_model_pred, dim))
})
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