CGGP_internal_gneglogpost {CGGP} | R Documentation |
Gradient of negative log likelihood posterior
CGGP_internal_gneglogpost(theta, CGGP, y, ..., return_lik = FALSE, ys = NULL, Xs = NULL, HandlingSuppData = "Correct")
theta |
Log of correlation parameters |
CGGP |
CGGP object |
y |
CGGP$design measured values |
... |
Forces you to name remaining arguments |
return_lik |
If yes, it returns a list with lik and glik |
ys |
Supplementary output data |
Xs |
Supplementary input data |
HandlingSuppData |
How should supplementary data be handled? * Correct: full likelihood with grid and supplemental data * Only: only use supplemental data * Ignore: ignore supplemental data |
Vector for gradient of likelihood w.r.t. x (theta)
cg <- CGGPcreate(d=3, batchsize=20) Y <- apply(cg$design, 1, function(x){x[1]+x[2]^2}) cg <- CGGPfit(cg, Y) CGGP_internal_gneglogpost(cg$thetaMAP, CGGP=cg, y=cg$y)