approximator: Bayesian Prediction of Complex Computer Codes

Performs Bayesian prediction of complex computer codes when fast approximations are available. It uses a hierarchical version of the Gaussian process, originally proposed by Kennedy and O'Hagan (2000), Biometrika 87(1):1.

Version:	1.2-7
Depends:	R (≥ 2.0.0), emulator (≥ 1.2-11)
Imports:	mvtnorm
Published:	2018-08-29
Author:	Robin K. S. Hankin
Maintainer:	Robin K. S. Hankin <hankin.robin at gmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	approximator results

Documentation:

Reference manual:	approximator.pdf
Vignettes:	Apprex: a cookbook for the approximator package

Downloads:

Package source:	approximator_1.2-7.tar.gz
Windows binaries:	r-devel: approximator_1.2-7.zip, r-release: approximator_1.2-7.zip, r-oldrel: approximator_1.2-7.zip
macOS binaries:	r-release (arm64): approximator_1.2-7.tgz, r-oldrel (arm64): approximator_1.2-7.tgz, r-release (x86_64): approximator_1.2-7.tgz, r-oldrel (x86_64): approximator_1.2-7.tgz
Old sources:	approximator archive

Reverse dependencies:

Reverse depends:

BACCO

Linking:

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