Package: mlegp 3.1.10

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.

Authors:Garrett M. Dancik [aut, cre]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mlegp/json (API)

# Install 'mlegp' in R:

install.packages('mlegp', repos = c('https://gdancik.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gdancik/mlegp/issues

Uses libs:

openblas– Optimized BLAS

On CRAN:

openblas

7.34 score 1 stars 22 packages 130 scripts 5.1k downloads 1 mentions 41 exports 0 dependencies

Last updated from:b9a4da1ac7. Checks:12 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	92
linux-devel-x86_64	OK	100
source / vignettes	OK	152
linux-release-arm64	OK	97
linux-release-x86_64	OK	110
macos-release-arm64	OK	137
macos-release-x86_64	OK	197
macos-oldrel-arm64	OK	143
macos-oldrel-x86_64	OK	258
windows-devel	OK	69
windows-release	OK	74
windows-oldrel	OK	79
wasm-release	FAIL	99

Exports:anyReps calcCorOneObs calcLogLikeManual calcPredictionError calcPredictionErrorCV calcVarMatrix createGP createWindow CV estimateNugget fitGPfromR getSingularValues gp.list gpDim gpObs is.gp is.gp.list matchIndexes mlegp mlegp2 numSingularValues pcweights plot.gp plot.gp.list plotObservedEffects plotObservedEffects.gp plotObservedEffectsDefault predict.gp predictMu predictNewYCV predictNewZ print.gp print.gp.list setGPNames setParams singularValueImportance summary.gp summary.gp.list toParamIndexes uniqueSummary varPerReps

Dependencies:

Full User Manual

mlegp: an overview | Gaussian process modeling and diagnostics | Examples: Gaussian process fitting and diagnostics | Sensitivity analysis | Multivariate Output and Dimension Reduction

Rendered frommlegp.Rnwusingutils::Sweave

Last update: 2026-01-19
Started: 2018-04-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
mlegp package	mlegp-package
Gaussian Process and Gaussian Process Lists	is.gp is.gp.list
mlegp: maximum likelihood estimation of Gaussian process parameters	fitGPfromR mlegp mlegp2
Gaussian Process Nugget Related Functions	anyReps estimateNugget nugget varPerReps
Diagnostic Plots for Gaussian processes	plot.gp
Diagnostics Plots for Gaussian Process Lists	plot.gp.list
Plot Observed Values Vs. Each Dimension of the Design Matrix	plotObservedEffects plotObservedEffects.gp plotObservedEffectsDefault
Gaussian Process Predictions	calcPredictionError predict.gp predict.gp.list predictMu predictNewZ
Gaussian Process Summary Information	print.gp
Gaussian Process List Summary Information	print.gp.list
Gaussian Process Summary Information	summary.gp
Gaussian Process List Summary Information	summary.gp.list
Summary of outputs for each unique input	uniqueSummary