gaussian_process {resemble}R Documentation

Gaussian process regression with linear kernel (gaussian_process)

Description

Carries out a gaussian process regression with a linear kernel (dot product). For internal use only!

Usage

gaussian_process(X, Y, noisev, scale)

Arguments

X

a matrix of predictor variables

Y

a matrix with a single response variable

noisev

a value indicating the variance of the noise for Gaussian process regression. Default is 0.001. a matrix with a single response variable

scale

a logical indicating whether both the predictors and the response variable must be scaled to zero mean and unit variance.

Value

a list containing the following elements:

Author(s)

Leonardo Ramirez-Lopez


[Package resemble version 2.2.4 Index]