mlegp: Maximum Likelihood Estimates of Gaussian Processes

Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots following Santner et al (2003) <doi:10.1007/978-1-4757-3799-8>. Contact the maintainer for a package version that includes sensitivity analysis.

Version:	3.1.9
Depends:	methods
Suggests:	snowfall
Published:	2022-03-10
Author:	Garrett M. Dancik
Maintainer:	Garrett M. Dancik <dancikg at easternct.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Citation:	mlegp citation info
CRAN checks:	mlegp results

Documentation:

Reference manual:	mlegp.pdf
Vignettes:	Full User Manual

Downloads:

Package source:	mlegp_3.1.9.tar.gz
Windows binaries:	r-devel: mlegp_3.1.9.zip, r-release: mlegp_3.1.9.zip, r-oldrel: mlegp_3.1.9.zip
macOS binaries:	r-release (arm64): mlegp_3.1.9.tgz, r-oldrel (arm64): mlegp_3.1.9.tgz, r-release (x86_64): mlegp_3.1.9.tgz, r-oldrel (x86_64): mlegp_3.1.9.tgz
Old sources:	mlegp archive

Reverse dependencies:

Reverse depends:	penalizedSVM
Reverse imports:	c060, TAG
Reverse suggests:	ContourFunctions, IGP, REddyProc

Linking:

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