Nothing
test_that("format_model", {
expect_identical(format_model(lm(Sepal.Length ~ Petal.Length * Species, data = iris)), "linear model")
expect_identical(format_model(glm(vs ~ disp, data = mtcars, family = "binomial")), "logistic model")
expect_identical(format_model(glm(vs ~ disp, data = mtcars, family = binomial(link = "probit"))), "probit model")
expect_identical(format_model(glm(vs ~ mpg, data = mtcars, family = "poisson")), "poisson model")
})
test_that("format_model", {
skip_if_not_installed("lme4")
expect_identical(format_model(lme4::lmer(wt ~ cyl + (1 | gear), data = mtcars)), "linear mixed model")
expect_identical(
format_model(lme4::glmer(vs ~ cyl + (1 | gear), data = mtcars, family = "binomial")),
"logistic mixed model"
)
expect_identical(
format_model(lme4::glmer(vs ~ drat + cyl + (1 | gear), data = mtcars, family = "binomial")),
"logistic mixed model"
)
})
test_that("format_model", {
skip_if_not_installed("rstanarm")
expect_identical(
format_model(
suppressWarnings(
rstanarm::stan_glm(mpg ~ wt, data = mtcars, refresh = 0, iter = 50)
)
),
"Bayesian linear model"
)
expect_identical(
format_model(
suppressWarnings(
rstanarm::stan_glm(vs ~ wt,
data = mtcars,
family = "binomial",
refresh = 0,
iter = 50
)
)
),
"Bayesian logistic model"
)
})
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