Nothing
test_that("bolasso glmnet functionality works sequentially", {
# glmnet formula
set.seed(123)
model_form_glmnet <- bolasso(
formula = mpg ~ .,
data = mtcars,
n.boot = 5,
implement = "glmnet"
)
# glmnet matrix interface
x <- model.matrix(mpg ~ . - 1, mtcars)
y <- mtcars[["mpg"]]
set.seed(123)
model_xy_glmnet <- bolasso(
x = x,
y = y,
n.boot = 5,
implement = "glmnet"
)
expect_equal(coef(model_form_glmnet), coef(model_xy_glmnet))
expect_equal(predict(model_form_glmnet, mtcars), predict(model_xy_glmnet, x))
expect_equal(selected_vars(model_form_glmnet), selected_vars(model_xy_glmnet))
expect_s3_class(plot(model_form_glmnet), "ggplot")
expect_s3_class(plot(model_xy_glmnet), "ggplot")
expect_s3_class(plot_selected_variables(model_form_glmnet), "ggplot")
expect_s3_class(plot_selected_variables(model_xy_glmnet), "ggplot")
expect_s3_class(plot_selection_thresholds(model_form_glmnet), "ggplot")
expect_s3_class(plot_selection_thresholds(model_xy_glmnet), "ggplot")
})
test_that("bolasso gamlr functionality works sequentially", {
# gamlr formula
set.seed(123)
model_form_gamlr <- bolasso(
formula = mpg ~ .,
data = mtcars,
n.boot = 5,
implement = "gamlr"
)
# gamlr matrix interface
x <- model.matrix(mpg ~ . - 1, mtcars)
y <- mtcars[["mpg"]]
set.seed(123)
model_xy_gamlr <- bolasso(
x = x,
y = y,
n.boot = 5,
implement = "gamlr"
)
expect_equal(coef(model_form_gamlr), coef(model_xy_gamlr))
expect_equal(predict(model_form_gamlr, mtcars), predict(model_xy_gamlr, x))
expect_equal(selected_vars(model_form_gamlr), selected_vars(model_xy_gamlr))
expect_s3_class(plot(model_form_gamlr), "ggplot")
expect_s3_class(plot(model_xy_gamlr), "ggplot")
expect_s3_class(plot_selected_variables(model_form_gamlr), "ggplot")
expect_s3_class(plot_selected_variables(model_xy_gamlr), "ggplot")
expect_s3_class(plot_selection_thresholds(model_form_gamlr), "ggplot")
expect_s3_class(plot_selection_thresholds(model_xy_gamlr), "ggplot")
})
test_that("bolasso fast functionality works", {
# formula
set.seed(123)
model_fast <- bolasso(
formula = mpg ~ .,
data = mtcars,
n.boot = 5,
fast = TRUE
)
# matrix interface
x <- model.matrix(mpg ~ . - 1, mtcars)
y <- mtcars[["mpg"]]
set.seed(123)
model_xy_fast <- bolasso(
x = x,
y = y,
n.boot = 5,
fast = TRUE
)
expect_message({
model_form_gamlr <- bolasso(
formula = mpg ~ .,
data = mtcars,
n.boot = 5,
implement = "gamlr",
fast = TRUE
)
}, regexp = "Fast mode isn't compatible with `gamlr`")
expect_equal(coef(model_fast), coef(model_xy_fast))
expect_equal(predict(model_fast, mtcars), predict(model_xy_fast, x))
expect_equal(selected_vars(model_fast), selected_vars(model_xy_fast))
expect_s3_class(plot(model_fast), "ggplot")
expect_s3_class(plot(model_xy_fast), "ggplot")
expect_s3_class(plot_selected_variables(model_fast), "ggplot")
expect_s3_class(plot_selected_variables(model_xy_fast), "ggplot")
expect_s3_class(plot_selection_thresholds(model_fast), "ggplot")
expect_s3_class(plot_selection_thresholds(model_xy_fast), "ggplot")
})
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