Nothing
test_that("log_sum_exp() works", {
set.seed(1)
x <- rnorm(10)
x[[2]] <- -Inf
expect_equal(log(sum(exp(x))), log_sum_exp(x))
x[[1]] <- NA_real_
expect_equal(NA_real_, log_sum_exp(x))
expect_equal(log(sum(exp(x), na.rm = TRUE)), log_sum_exp(x, na.rm = TRUE))
expect_equal(log_sum_exp(c(-Inf, -Inf, -Inf)), -Inf)
})
test_that("logit/expit are inverses", {
set.seed(1)
pvec <- stats::runif(100)
expect_equal(expit(logit(pvec)), pvec)
expect_equal(logit(expit(pvec)), pvec)
})
test_that("simplex transform works", {
set.seed(1)
## Check they are inverses ----
x <- stats::runif(5)
x <- x / sum(x)
expect_equal(real_to_simplex(simplex_to_real(x)), x)
y <- stats::rnorm(5)
x <- real_to_simplex(y)
expect_equal(sum(x), 1)
expect_equal(simplex_to_real(x), y)
## Check two and one case works
x <- c(0.3, 0.7)
expect_equal(real_to_simplex(simplex_to_real(x)), x)
})
test_that("aggfun works", {
expect_equal(
aggfun(c(TRUE, TRUE, TRUE)),
aggfun(c(TRUE, FALSE, TRUE))
)
expect_equal(
aggfun(c(TRUE, FALSE, FALSE)),
matrix(c(1, 0 , 0,
0, 1, 1),
nrow = 2,
byrow = TRUE)
)
})
test_that("projme() and ginv() provides same results", {
set.seed(1)
r <- 3
n <- 10
A <- matrix(rnorm(n = n * r), nrow = n)
B <- tcrossprod(A)
pout <- projme(Q = B, df = r)
gout <- ginv(omega = B)
expect_equal(
gout$mat,
pout
)
})
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