f1d_n: Noisy 1d test function (1) Add Gaussian noise with variance...

In hetGP: Heteroskedastic Gaussian Process Modeling and Design under Replication

Noisy 1d test function (1) Add Gaussian noise with variance r(x) = scale * (1.1 + sin(2 pi x))^2 to f1d

Description

Noisy 1d test function (1) Add Gaussian noise with variance r(x) = scale * (1.1 + sin(2 pi x))^2 to f1d

Usage

f1d_n(x, scale = 1)

Arguments

x	scalar or matrix (size n x 1) in [0,1]
scale	scalar in [0, Inf] to control the signal to noise ratio

Examples

X <- matrix(seq(0, 1, length.out = 101), ncol = 1)
Xr <- X[sort(sample(x = 1:101, size = 500, replace = TRUE)),, drop = FALSE]
plot(Xr, f1d_n(Xr))
lines(X, f1d(X), col = "red", lwd = 2)

hetGP documentation built on Oct. 3, 2023, 1:07 a.m.