gr_GP_mod: Gradient of the modified logLikelihood for GPs in Magma

View source: R/gradients-likelihoods.R

gr_GP_modR Documentation

Gradient of the modified logLikelihood for GPs in Magma

Description

Gradient of the modified logLikelihood for GPs in Magma

Usage

gr_GP_mod(hp, db, mean, kern, post_cov, pen_diag)

Arguments

hp

A tibble, data frame or named vector containing hyper-parameters.

db

A tibble containing the values we want to compute the logL on. Required columns: Input, Output. Additional covariate columns are allowed.

mean

A vector, specifying the mean of the GPs at the reference inputs.

kern

A kernel function.

post_cov

A matrix, covariance parameter of the hyper-posterior. Used to compute the correction term.

pen_diag

A jitter term that is added to the covariance matrix to avoid numerical issues when inverting, in cases of nearly singular matrices.

Value

A named vector, corresponding to the value of the hyper-parameters gradients for the modified Gaussian log-Likelihood involved in Magma.

Examples

TRUE

MagmaClustR documentation built on June 29, 2024, 1:06 a.m.