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Prototypes for construction of a Gaussian Stochastic Process emulator (GASP) of a computer model. This is done within the objective Bayesian implementation of the GASP. The package allows for construction of a linked GASP of the composite computer model. Computational implementation follows the mathematical exposition given in publication: Ksenia N. Kyzyurova, James O. Berger, Robert L. Wolpert. Coupling computer models through linking their statistical emulators. SIAM/ASA Journal on Uncertainty Quantification, 6(3): 1151-1171, (2018).<doi:10.1137/17M1157702>.
| Version: | 1.0 |
| Depends: | nloptr, spBayes |
| Suggests: | MASS |
| Published: | 2018-12-09 |
| DOI: | 10.32614/CRAN.package.LinkedGASP |
| Author: | Ksenia N. Kyzyurova, kseniak.ucoz.net |
| Maintainer: | Ksenia N. Kyzyurova <ksenia.kyzyurova at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | LinkedGASP results |
| Reference manual: | LinkedGASP.pdf |
| Package source: | LinkedGASP_1.0.tar.gz |
| Windows binaries: | r-devel: LinkedGASP_1.0.zip, r-release: LinkedGASP_1.0.zip, r-oldrel: LinkedGASP_1.0.zip |
| macOS binaries: | r-release (arm64): LinkedGASP_1.0.tgz, r-oldrel (arm64): LinkedGASP_1.0.tgz, r-release (x86_64): LinkedGASP_1.0.tgz, r-oldrel (x86_64): LinkedGASP_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.