Nothing
test_that("elastic_net outputs the right elements for survival", {
set.seed(0)
result <- elastic_net(
"tt_pfs", "arm", c("x_1", "x_3"),
c("x_1", "x_2", "x_3"), example_data,
"survival", 1, "ev_pfs"
)
result[[1]] <- coef(result$fit)
prep_data <- preprocess(
"arm", c("x_1", "x_3"), c("x_1", "x_2", "x_3"),
example_data
)
penalty_factor <- c(rep(0, 5), rep(1, 6))
design_matrix <- cbind(prep_data$design_main, prep_data$design_ia)
set.seed(0)
fit_glmnet <- glmnet::cv.glmnet(design_matrix,
survival::Surv(
example_data$tt_pfs,
example_data$ev_pfs
),
family = "cox",
penalty.factor = penalty_factor,
alpha = 1
)
y <- as.data.frame(cbind(example_data$tt_pfs, example_data$ev_pfs))
colnames(y) <- c("resp", "status")
expected <- list(
fit = coef(fit_glmnet),
model = "elastic_net",
resptype = "survival",
data = example_data,
alpha = 1,
design_matrix = design_matrix,
design_dummy = prep_data$design_dummy,
y = y,
subgr_names = prep_data$subgr_names
)
class(expected) <- c("bonsaiforest", "elastic_net")
expect_equal(result, expected)
})
test_that("elastic_net outputs the right elements for binary", {
set.seed(0)
result <- elastic_net(
"ev_pfs", "arm", c("x_1", "x_3"),
c("x_1", "x_2", "x_3"), example_data,
"binary", 0
)
result[[1]] <- coef(result$fit)
prep_data <- preprocess(
"arm", c("x_1", "x_3"), c("x_1", "x_2", "x_3"),
example_data
)
penalty_factor <- c(rep(0, 4), rep(1, 6))
design_matrix <- cbind(prep_data$design_main[, -1], prep_data$design_ia)
set.seed(0)
fit_glmnet <- glmnet::cv.glmnet(design_matrix,
example_data$ev_pfs,
family = "binomial",
penalty.factor = penalty_factor,
alpha = 0
)
y <- example_data$ev_pfs
expected <- list(
fit = coef(fit_glmnet),
model = "elastic_net",
resptype = "binary",
data = example_data,
alpha = 0,
design_matrix = design_matrix,
design_dummy = prep_data$design_dummy,
y = y,
subgr_names = prep_data$subgr_names
)
class(expected) <- c("bonsaiforest", "elastic_net")
expect_equal(result, expected)
})
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