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: | 1.1-8 |
Depends: | R (≥ 2.14) |
Imports: | lhs, parallel, stats |
Published: | 2022-04-12 |
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_1.1-8.tar.gz |
Windows binaries: | r-devel: DynamicGP_1.1-8.zip, r-release: DynamicGP_1.1-8.zip, r-oldrel: DynamicGP_1.1-8.zip |
macOS binaries: | r-release (arm64): DynamicGP_1.1-8.tgz, r-oldrel (arm64): DynamicGP_1.1-8.tgz, r-release (x86_64): DynamicGP_1.1-8.tgz, r-oldrel (x86_64): DynamicGP_1.1-8.tgz |
Old sources: | DynamicGP archive |
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