r-CGP

Description

Composite Gaussian Process Models.

Description

Fit composite Gaussian process (CGP) models as described in Ba and Joseph (2012) "Composite Gaussian Process Models for Emulating Expensive Functions", Annals of Applied Statistics. The CGP model is capable of approximating complex surfaces that are not second-order stationary. Important functions in this package are CGP, print.CGP, summary.CGP, predict.CGP and plotCGP.

Metadata

Version

2.1-1

License

Unknown

Platforms (75)

Darwin

FreeBSD

Genode

GHCJS

Linux

MMIXware

NetBSD

none

OpenBSD

Redox

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aarch64-darwin
aarch64-genode
aarch64-linux
aarch64-netbsd
aarch64-none
aarch64_be-none
arm-none
armv5tel-linux
armv6l-linux
armv6l-netbsd
armv6l-none
armv7a-darwin
armv7a-linux
armv7a-netbsd
armv7l-linux
armv7l-netbsd
avr-none
i686-cygwin
i686-darwin
i686-freebsd
i686-genode
i686-linux
i686-netbsd
i686-none
i686-openbsd
i686-windows
javascript-ghcjs
loongarch64-linux
m68k-linux
m68k-netbsd
m68k-none
microblaze-linux
microblaze-none
microblazeel-linux
microblazeel-none
mips-linux
mips-none
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mips64el-linux
mipsel-linux
mipsel-netbsd
mmix-mmixware
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or1k-none
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x86_64-none
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x86_64-windows

Version

License

Status

Source

Homepage

Platforms75 (75)

Platforms (75)