Emulating and solving inverse problems for dynamic computer experiments. It contains two major functionalities: (1) localized GP model for large-scale dynamic computer experiments using the algorithm proposed by Zhang et al. (2018) <arXiv:1611.09488>; (2) solving inverse problems in dynamic computer experiments. The current version only supports 64-bit version of R.
| Version: | 1.1-6 |
| Depends: | R (≥ 2.14) |
| Imports: | lhs, parallel, stats |
| Published: | 2020-04-19 |
| Author: | Ru Zhang [aut, cre], Chunfang Devon Lin [aut], Pritam Ranjan [aut], Robert B Gramacy [ctb], Nicolas Devillard [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Peihuang Lu-Chen [ctb], Berend Hasselman [ctb], Jack Dongarra [ctb], Jeremy Du Croz [ctb], Sven Hammarling [ctb], Richard Hanson [ctb], University of Chicago [cph], University of California [cph] |
| Maintainer: | Ru Zhang <heavenmarshal at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | see file COPYRIGHTS |
| NeedsCompilation: | yes |
| CRAN checks: | DynamicGP results |
| Reference manual: | DynamicGP.pdf |
| Package source: | DynamicGP_1.1-6.tar.gz |
| Windows binaries: | r-devel: DynamicGP_1.1-6.zip, r-release: DynamicGP_1.1-6.zip, r-oldrel: DynamicGP_1.1-6.zip |
| macOS binaries: | r-release: DynamicGP_1.1-6.tgz, r-oldrel: DynamicGP_1.1-6.tgz |
| Old sources: | DynamicGP archive |
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