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: 3.1.8
Suggests: snowfall
Published: 2020-09-25
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

Downloads:

Reference manual: mlegp.pdf
Vignettes: Full User Manual
Package source: mlegp_3.1.8.tar.gz
Windows binaries: r-devel: mlegp_3.1.8.zip, r-release: mlegp_3.1.8.zip, r-oldrel: mlegp_3.1.8.zip
macOS binaries: r-release: mlegp_3.1.8.tgz, r-oldrel: mlegp_3.1.8.tgz
Old sources: mlegp archive

Reverse dependencies:

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

Linking:

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