Nothing
library(evalITR)
library(dplyr)
test_that("Sample Splitting Works", {
load("star.rda")
# specifying the outcome
outcomes <- "g3tlangss"
# specifying the treatment
treatment <- "treatment"
# specifying the data (remove other outcomes)
star_data <- star %>% dplyr::select(-c(g3treadss,g3tmathss))
# specifying the formula
user_formula <- as.formula(
"g3tlangss ~ treatment + gender + race + birthmonth +
birthyear + SCHLURBN + GRDRANGE + GKENRMNT + GKFRLNCH +
GKBUSED + GKWHITE ")
# estimate ITR
fit <- estimate_itr(
treatment = treatment,
form = user_formula,
data = star_data,
algorithms = c("lasso"),
budget = 0.2,
split_ratio = 0.7)
expect_no_error(estimate_itr(
treatment = treatment,
form = user_formula,
data = star_data,
algorithms = c("lasso"),
budget = 0.2,
split_ratio = 0.7))
# evaluate ITR
est <- evaluate_itr(fit)
expect_no_error(evaluate_itr(fit))
})
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