cov.noisy.MR.d: Partial derivatives of the noisy MR covariance function

In JimSkinner/spca: Structured PCA

Description

Partial derivatives of the noisy MR covariance function

Usage

cov.noisy.MR.d(X, beta, ...)

Arguments

X	Matrix of data
beta	Hyperparameters; beta[1] is the log signal variance, beta[2:(ncol(X)+1)] are the ncol(X) length scales. beta[ncol(X)+2] is the noise variance

JimSkinner/spca documentation built on May 7, 2019, 10:52 a.m.