CGGP (version 1.0.1)

CGGP_internal_gneglogpost: Gradient of negative log likelihood posterior

Description

Gradient of negative log likelihood posterior

Usage

CGGP_internal_gneglogpost(theta, CGGP, y, ..., return_lik = FALSE,
  ys = NULL, Xs = NULL, HandlingSuppData = "Correct")

Arguments

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

Value

Vector for gradient of likelihood w.r.t. x (theta)

Examples

Run this code
# NOT RUN {
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)
# }

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