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mlegp (version 3.1.8)

Maximum Likelihood Estimates of Gaussian Processes

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.

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Version

Install

install.packages('mlegp')

Monthly Downloads

1,495

Version

3.1.8

License

GPL (>= 2)

Maintainer

Garrett M Dancik

Last Published

September 25th, 2020

Functions in mlegp (3.1.8)

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