library(hte)
# Example 1: Use Iris dataset
set.seed(1423614230)
feat <- iris[, -1]
tr <- rbinom(nrow(iris), 1, .5)
yobs <- iris[, 1]
xl <- X_RF(
feat = feat,
tr = tr,
yobs = yobs,
nthread = 0,
splitratio_first = .5,
splitratio_second = .5
)
EstimateCate(xl, feat)
# Example 2: large n
set.seed(400189)
n <- 20000
d <- 12
feat <- as.data.frame(matrix(rnorm(n*d), nrow = n))
tr <- rbinom(n, 1, feat$V1/ 20 +.5)
yobs <- feat$V1 + feat$V2 + tr * feat$V3
# this takes approximately 2 min to run.
xl <- X_RF(
feat = feat,
tr = tr,
yobs = yobs,
nthread = 0
)
EstimateCate(xl, feat)
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