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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