Train a Gaussian stochastic process model of an unknown function, possibly observed with error, via maximum likelihood or MAP estimation, run model diagnostics, and make predictions, following Sacks, J., Welch, W.J., Mitchell, T.J., and Wynn, H.P. (1989) "Design and Analysis of Computer Experiments", Statistical Science, <doi:10.1214/ss/1177012413>. Perform sensitivity analysis and visualize loworder effects, following Schonlau, M. and Welch, W.J. (2006), "Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization", <doi:10.1007/0387280146_14>.
Package details 


Author  William J. Welch [aut, cre, cph] (<https://orcid.org/0000000245753124>), Yilin Yang [aut] (<https://orcid.org/0000000308856017>) 
Maintainer  William J. Welch <will@stat.ubc.ca> 
License  GPL3 
Version  1.0.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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