set.seed(123)
normal_example <- example_powerscale_model("univariate_normal")
sfit <- suppressWarnings(rstan::stan(
model_code = normal_example$model_code,
data = normal_example$data,
refresh = FALSE,
seed = 123,
iter = 500,
warmup = 250,
chains = 4
))
test_that("moment matching is applied when specified and pareto-k is higher than threshold", {
skip_on_cran()
expect_true(
get_powerscaling_details(
powerscale(
x = sfit,
alpha = 0.2,
component = "likelihood",
moment_match = TRUE
)
)$moment_match
)
})
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