DynamicGP

Modelling and Analysis of Dynamic Computer Experiments

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.

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Description file content

Package
DynamicGP
Title
Modelling and Analysis of Dynamic Computer Experiments
Version
1.1-1
Description
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) ; (2) solving inverse problems in dynamic computer experiments. The current version only supports 64-bit version of R.
License
GPL (>= 2)
Date
2018-10-12
Maintainer
Ru Zhang
Depends
R (>= 2.14)
Imports
lhs, parallel, stats
NeedsCompilation
yes
Packaged
2018-10-17 18:16:27 UTC; heave
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], University of Chicago [cph], University of California [cph]
Repository
CRAN
Date/Publication
2018-10-17 18:40:02 UTC

install.packages('DynamicGP')

1.1-1

a month ago

Ru Zhang

GPL (>= 2)

Depends on

R (>= 2.14)

Imports

lhs, parallel, stats

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