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mlegp
View on CRAN: Click
here
Download and install mlegp package within the R console
Install from CRAN:
install.packages("mlegp")
Install from Github:
library("remotes")
install_github("cran/mlegp") Install by package version:
library("remotes")
install_version("mlegp", "3.1.10") Attach the package and use:
library("mlegp")
Maintained by
Garrett M. Dancik
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-09-28
Latest Update: 2022-03-10
Description:
Maximum likelihood Gaussian process modeling for
univariate and multi-dimensional outputs with diagnostic plots
following Santner et al (2003) .
Contact the maintainer for a package version that includes
sensitivity analysis.
How to cite:
Garrett M. Dancik (2007). mlegp: Maximum Likelihood Estimates of Gaussian Processes. R package version 3.1.10, https://cran.r-project.org/web/packages/mlegp. Accessed 21 Jun. 2026.
Previous versions and publish date:
1.0 (2007-09-28 10:38), 1.1 (2007-10-07 10:30), 2.0 (2007-12-08 12:03), 2.1 (2007-12-12 12:43), 2.2.1 (2008-02-03 12:48), 2.2.2 (2008-02-14 14:28), 2.2.3 (2008-02-28 08:59), 2.2.4 (2008-04-24 18:51), 2.2.5 (2009-03-08 17:15), 2.2.6 (2009-03-08 18:09), 2.2 (2007-12-30 21:29), 3.1.0 (2009-11-06 11:18), 3.1.1 (2010-05-06 11:14), 3.1.2 (2012-10-29 08:59), 3.1.3 (2012-12-20 19:11), 3.1.4 (2013-12-10 11:10), 3.1.5 (2018-01-30 15:20), 3.1.6 (2018-01-30 23:45), 3.1.7 (2018-04-15 00:23), 3.1.8 (2020-09-25 18:30), 3.1.9 (2022-03-10 14:40)
Other packages that cited mlegp R package
View mlegp citation profile
Other R packages that mlegp depends,
imports, suggests or enhances
Complete documentation for mlegp
Functions, R codes and Examples using
the mlegp R package
Some associated functions: CV . createGP . createWindow . gp.list . is.gp . mlegp-internal . mlegp-naming-functions . mlegp-package . mlegp-svd-functions . mlegp . nugget . paramLookup . plot.gp.list . plot.gp . plotObservedEffects . predict.gp . print.gp.list . print.gp . summary.gp.list . summary.gp . uniqueSummary .
Some associated R codes: CV.R . anyReps.R . calcCorOneObs.R . calcLogLikeManual.R . calcPredictionError.R . calcPredictionErrorCV.R . calcVarMatrix.R . createGP.R . createWindow.R . estimateNugget.R . getSingularValues.R . gp.list.R . gpDim.R . gpObs.R . is.gp.R . is.gp.list.R . matchIndexes.R . mlegp.R . mlegp2.R . numSingularValues.R . pcweights.R . plot.gp.R . plot.gp.list.R . plotObservedEffects.R . plotObservedEffects.gp.R . plotObservedEffectsDefault.R . predict.gp.R . predictMu.R . predictNewYCV.R . predictNewZ.R . print.gp.R . print.gp.list.R . setGPNames.R . setParams.R . singularValueImportance.R . summary.gp.R . summary.gp.list.R . toParamIndexes.R . uniqueSummary.R . varPerReps.R . Full mlegp package functions and examples
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