Calculate negative log posterior
CGGP_internal_neglogpost(theta, CGGP, y, ..., ys = NULL, Xs = NULL, HandlingSuppData = "Correct")
Correlation parameters
CGGP object
Measured values of CGGP$design
Forces you to name remaining arguments
Supplementary output data
Supplementary input data
How should supplementary data be handled?
Correct: full likelihood with grid and supplemental data
Only: only use supplemental data
Ignore: ignore supplemental data
Likelihood
# NOT RUN { cg <- CGGPcreate(d=3, batchsize=20) Y <- apply(cg$design, 1, function(x){x[1]+x[2]^2}) cg <- CGGPfit(cg, Y) CGGP_internal_neglogpost(cg$thetaMAP, CGGP=cg, y=cg$y) # }
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