Provides a general and efficient tool for fitting a response surface to datasets via Gaussian processes. The dataset can have multiple responses. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S., Apley, D. W. & Chen, W. Leveraging the nugget parameter for efficient Gaussian process modeling (2017) <doi:10.1002/nme.5751>.
| Version: | 1.0 |
| Depends: | R (≥ 3.2.5), stats (≥ 3.2.5) |
| Imports: | lhs (≥ 0.14), randtoolbox (≥ 1.17), lattice (≥ 0.20-34) |
| Published: | 2018-01-05 |
| Author: | Ramin Bostanabad |
| Maintainer: | Ramin Bostanabad <bostanabad at u.northwestern.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | GPM results |
| Reference manual: | GPM.pdf |
| Package source: | GPM_1.0.tar.gz |
| Windows binaries: | r-devel: GPM_1.0.zip, r-release: GPM_1.0.zip, r-oldrel: GPM_1.0.zip |
| OS X binaries: | r-release: GPM_1.0.tgz, r-oldrel: GPM_1.0.tgz |
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