mlegp v3.1.8

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by Garrett M Dancik View Source

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.

Functions in mlegp

Name	Description
CV	Gaussian process cross-validation
is.gp	Gaussian Process and Gaussian Process Lists
mlegp-internal	Internal Functions for Gaussian Processes
summary.gp	Gaussian Process Summary Information
createGP	creates a Gaussian process object
mlegp-naming-functions	mlegp naming functions
mlegp-package	mlegp package
plot.gp	Diagnostic Plots for Gaussian processes
createWindow	Gaussian Process Plotting Functions
summary.gp.list	Gaussian Process List Summary Information
gp.list	Gaussian Process Lists
print.gp	Gaussian Process Summary Information
plot.gp.list	Diagnostics Plots for Gaussian Process Lists
mlegp-svd-functions	Singular Value Decomposition functions for mlegp
plotObservedEffects	Plot Observed Values Vs. Each Dimension of the Design Matrix
mlegp	mlegp: maximum likelihood estimation of Gaussian process parameters
predict.gp	Gaussian Process Predictions
mlegp-nugget-related	Gaussian Process Nugget Related Functions
uniqueSummary	Summary of outputs for each unique input
mlegp-parameter-lookup	Parameter Lookup Functions
print.gp.list	Gaussian Process List Summary Information
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Vignettes of mlegp

Name
mlegp.Rnw
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Details

Type	Package
Date	2020-09-22
License	GPL (>= 2)
URL
Repository	CRAN
Date/Publication	2020-09-25 16:30:02 UTC
Packaged	2020-09-25 15:16:28 UTC; dancikg
NeedsCompilation	yes

suggests	snowfall
Contributors	Garrett Dancik