Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "../man/figures/README-"
)
library(dplyr)
load("../data/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 ")
## ----cv_estimate, message = FALSE, out.width = '60%'--------------------------
library(evalITR)
# estimate ITR
set.seed(2021)
fit_cv <- estimate_itr(
treatment = treatment,
form = user_formula,
data = star_data,
algorithms = c("causal_forest"),
budget = 0.2,
n_folds = 3)
## ----cv_eval, message = FALSE, out.width = '50%'------------------------------
# evaluate ITR
est_cv <- evaluate_itr(fit_cv)
# summarize estimates
summary(est_cv)
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