DynamicGP

Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments

Fits localized GP model for dynamic computer experiments via singular value decomposition of the response matrix Y for large N (the number of observations) using the algorithm proposed by Zhang et al. (2018) <arXiv:1611.09488>. The current version only supports 64-bit version of R.

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Description file content

Package
DynamicGP
Title
Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments
Version
1.0-2
Description
Fits localized GP model for dynamic computer experiments via singular value decomposition of the response matrix Y for large N (the number of observations) using the algorithm proposed by Zhang et al. (2018) . The current version only supports 64-bit version of R.
License
GPL (>= 2)
Date
2018-04-17
Maintainer
Ru Zhang
Depends
R (>= 2.14)
Imports
lhs, laGP, parallel
NeedsCompilation
yes
Packaged
2018-04-17 23:55:44 UTC; Ru
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], University of Chicago [cph], University of California [cph]
Repository
CRAN
Date/Publication
2018-04-18 09:45:47 UTC

install.packages('DynamicGP')

1.0-2

5 months ago

Ru Zhang

GPL (>= 2)

Depends on

R (>= 2.14)

Imports

lhs, laGP, parallel

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