Package: mlegp 3.1.9

Garrett M. Dancik

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

mlegp_3.1.9.tar.gz
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mlegp_3.1.9.tgz(r-4.4-emscripten)mlegp_3.1.9.tgz(r-4.3-emscripten)
mlegp.pdf |mlegp.html✨
mlegp/json (API)

# Install 'mlegp' in R:

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

Uses libs:

openblas– Optimized BLAS

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5.08 score 1 stars 22 packages 73 scripts 2.5k downloads 1 mentions 41 exports 0 dependencies

Last updated 3 years agofrom:48bc5f5814. Checks:OK: 1 NOTE: 1. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 08 2024
R-4.5-linux-x86_64	NOTE	Oct 08 2024

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

Rendered frommlegp.Rnwusingutils::Sweaveon Oct 08 2024.

Last update: 2018-01-30
Started: 2018-01-30

Citation

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