pseq <- seq(from = 1, to = 200, by = 10)
fullMu <- rnorm(pmax)
rho <- 0.3
benchmark <- numeric(length(pseq))
reps <- 10
for(j in 1:length(pseq)) {
p <- pseq[j]
times <- numeric(reps)
for(i in 1:reps) {
rho <- runif(1, min = 0.1, max = 0.9)
a <- rexp(p)
b <- rep(Inf, p)
mu <- rnorm(p)
sigma <- matrix(rho, nrow = p, ncol = p)
diag(sigma) <- 1
times[i] <- system.time(mvtnorm::pmvnorm(lower = a, upper = b, mean = mu, sigma = sigma))[3]
}
benchmark[j] <- mean(times)
print(c(p, benchmark[j]))
}
plot(pseq, benchmark, type = "b")
abline(a = 0, b = 1)
lm(benchmark ~ pseq)
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