context("test multiple-member")
test_that('fixed multiple member', {
set.seed(321)
sim_arguments <- list(
formula = y ~ 1 + time + weight + age + treat + (1 + time| id) +
(1 | neighborhood_id),
fixed = list(time = list(var_type = 'time'),
weight = list(var_type = 'continuous', mean = 180, sd = 30),
age = list(var_type = 'ordinal', levels = 30:60, var_level = 2),
treat = list(var_type = 'factor',
levels = c('Treatment', 'Control'),
var_level = 2)),
randomeffect = list(int_id = list(variance = 8, var_level = 2),
time_id = list(variance = 3, var_level = 2),
int_nid = list(variance = 5, var_level = 2,
multiple_member = TRUE,
num_ids = 12)),
sample_size = list(level1 = 10, level2 = 20),
reg_weights = c(1, 0.3, 0.8, 1, 5)
)
multiple_member <- simulate_fixed(data = NULL, sim_arguments)
expect_equal(ncol(multiple_member), 8)
expect_true(is.null(multiple_member[['neighborhood_id']]))
mm_random <- simulate_randomeffect(data = NULL, sim_arguments)
expect_equal(ncol(mm_random), 6)
expect_false(is.null(mm_random[['neighborhood_id']]))
expect_equal(length(unique(mm_random[['neighborhood_id']])), 12)
mm_random_fixed <- simulate_randomeffect(data = NULL, sim_arguments) |>
simulate_fixed(sim_arguments)
expect_equal(ncol(mm_random_fixed), 12)
mm_random_fixed <- simulate_randomeffect(data = NULL, sim_arguments) |>
simulate_fixed(sim_arguments) |>
simulate_error(sim_arguments) |>
generate_response(sim_arguments)
expect_equal(ncol(mm_random_fixed), 16)
expect_type(mm_random_fixed[['y']], 'double')
})
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