How should supplementary data be handled?
* Correct: full likelihood with grid and supplemental data
* Only: only use supplemental data
* Ignore: ignore supplemental data
separateoutputparameterdimensions
If multiple output dimensions,
should separate parameters be fit to each dimension?
set_thetaMAP_to
Value for thetaMAP to be set to
corr
Will update correlation function, if left missing it will be
same as last time.
Ynew
Values of `CGGP$design_unevaluated`
See Also
Other CGGP core functions:
CGGPappend(),
CGGPcreate(),
predict.CGGP()