sample.functions.from.kernel: Sample a function from a Gaussian Process Prior

In mattdneal/gaussianProcess: Gaussian Process Fitting and Prediction

Description

Sample a function from a Gaussian Process Prior

Usage

sample.functions.from.kernel(x, kernel, sigma.n, hyper.params,
  num.functions = 1)

Arguments

x	Points to sample at
kernel	Kernel of the Gaussian Process
sigma.n	Standard deviation of the noise
hyper.params	Hyperparameters of the kernel
num.functions	The number of different functions to generate

Value

A numeric vector of values at the sampled points

mattdneal/gaussianProcess documentation built on May 21, 2019, 12:58 p.m.