Nothing
# Shared fixtures for the test suite. Deterministic given the seed; the
# core DSA search uses no RNG for vfold = 1, so fits on this data are
# reproducible and suitable for golden-value tests.
make_matrix_data <- function(n = 200, seed = 42) {
set.seed(seed)
X <- data.frame(
a = rnorm(n),
b = runif(n, 0, 10),
c = sample(1:50, n, TRUE),
f = factor(sample(c("x", "y", "z"), n, TRUE))
)
yN <- with(X, 2 * a - 0.3 * b + rnorm(n))
yF <- factor(ifelse(yN > median(yN), "hi", "lo"))
yF3 <- factor(sample(c("A", "B", "C"), n, TRUE))
Ti <- rexp(n, rate = exp(-0.4 * X$a))
ev <- rbinom(n, 1, 0.7)
yS <- survival::Surv(Ti, ev)
list(X = X, Xn = X[, c("a", "b", "c")], yN = yN, yF = yF, yF3 = yF3, yS = yS)
}
ctl0 <- function(...) {
DSA.control(vfold = 1, minsplit = 30, minbuck = 10, cut.off.growth = 4,
missing = "no", ...)
}
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