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mlegp (version 3.1.10)

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

3,364

Version

3.1.10

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

1

Forks

1

Maintainer

Garrett M Dancik

Last Published

January 20th, 2026

Functions in mlegp (3.1.10)

summary.gp.list

Gaussian Process List Summary Information
summary.gp

Gaussian Process Summary Information
uniqueSummary

Summary of outputs for each unique input
print.gp

Gaussian Process Summary Information
print.gp.list

Gaussian Process List Summary Information
createWindow

Gaussian Process Plotting Functions
plot.gp.list

Diagnostics Plots for Gaussian Process Lists
mlegp-package

mlegp package
is.gp

Gaussian Process and Gaussian Process Lists
plotObservedEffects

Plot Observed Values Vs. Each Dimension of the Design Matrix
CV

Gaussian process cross-validation
mlegp-naming-functions

mlegp naming functions
mlegp-internal

Internal Functions for Gaussian Processes
createGP

creates a Gaussian process object
gp.list

Gaussian Process Lists
mlegp

mlegp: maximum likelihood estimation of Gaussian process parameters
mlegp-svd-functions

Singular Value Decomposition functions for mlegp
plot.gp

Diagnostic Plots for Gaussian processes
mlegp-nugget-related

Gaussian Process Nugget Related Functions
predict.gp

Gaussian Process Predictions
mlegp-parameter-lookup

Parameter Lookup Functions