logL_GP_mod_common_hp | R Documentation |
Log-Likelihood function involved in Magma during the maximisation step of the training, in the particular case where the hyper-parameters are shared by all individuals. The log-Likelihood is defined as a sum over all individuals of Gaussian likelihoods added with correction trace terms.
logL_GP_mod_common_hp(hp, db, mean, kern, post_cov, pen_diag)
hp |
A tibble, data frame of hyper-parameters. |
db |
A tibble containing the values we want to compute the logL on. Required columns: ID, Input, Output. Additional covariate columns are allowed. |
mean |
A vector, specifying the mean of the GP 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. |
A number, corresponding to the value of the modified Gaussian log-Likelihood with common hyper-parameters defined in Magma.
TRUE
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.