CGP: Composite Gaussian process models

Fit composite Gaussian process (CGP) models as described in Ba and Joseph (2012) "Composite Gaussian Process Models for Emulating Expensive Functions", Annals of Applied Statistics. The CGP model is capable of approximating complex surfaces that are not second-order stationary. Important functions in this package are CGP, print.CGP, summary.CGP, predict.CGP and plotCGP.

AuthorShan Ba and V. Roshan Joseph
Date of publication2014-09-21 07:43:39
MaintainerShan Ba <shanbatr@gmail.com>
LicenseLGPL-2.1
Version2.0-2

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.