## ---- test-strRegression-betastar_of_rhocap
tol_i <- 0.01
n_i <- 100000
k_i <- sample(
2:10,
size = 1
)
mu_i <- rep(
x = 0,
times = k_i
)
sigmacap_i <- matrix(
runif(
n = 1,
min = 0,
max = 1
),
nrow = k_i,
ncol = k_i
)
diag(sigmacap_i) <- 1
x_i <- rmvn_chol(
n = n_i,
mu = mu_i,
sigmacap = sigmacap_i,
varnames = c(
"y",
paste0("x", seq_len(k_i - 1))
),
data_frame = TRUE
)
answer_i <- unname(
stats::coef(
lm(
y ~ .,
data = as.data.frame(scale(x_i))
)
)[-1]
)
result_i <- unname(
betastar_of_rhocap(
cor(x_i)
)
)
testthat::test_that("test-strRegression-betastar_of_rhocap", {
testthat::expect_true(
all(
abs(
answer_i - result_i
) <= tol_i
)
)
})
testthat::test_that("test-strRegression-betastar_of_rhocap singular", {
testthat::expect_true(
all(
is.na(
betastar_of_rhocap(
matrix(
data = 1,
nrow = 3,
ncol = 3
)
)
)
)
)
})
# clean environment
rm(
tol_i,
n_i,
k_i,
mu_i,
sigmacap_i,
x_i,
answer_i,
result_i
)
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