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mlegp (version 2.2.6)

Maximum Likelihood Estimates of Gaussian Processes

Description

Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots and sensitivity analysis.

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Version

Install

install.packages('mlegp')

Monthly Downloads

4,484

Version

2.2.6

License

GPL (>=2)

Maintainer

Garrett M Dancik

Last Published

January 20th, 2026

Functions in mlegp (2.2.6)

mlegp-nugget-related

Gaussian Process Nugget Related Functions
summary.gp.list

Gaussian Process List Summary Information
createWindow

Gaussian Process Plotting Functions
mlegp-internal

Internal Functions for Gaussian Processes
predict.gp

Gaussian Process Predictions
mlegp-package

mlegp package
mlegp

Gaussian Process and Gaussian Process Lists
print.gp

Gaussian Process Summary Information
FANOVADecomposition

Sensitivity Analysis for Gaussian Processes and Gaussian Process Lists
mlegp-parameter-lookup

Parameter Lookup Functions
plotObservedEffects

Plot Observed Values Vs. Each Dimension of the Design Matrix
mlegp-sa-internal

Internal Sensitivity Analysis Functions For Gaussian Processes
plot.gp.list

Diagnostics Plots for Gaussian Process Lists
plotMainEffects

Sensitivity Analysis for Gaussian Processes and Gaussian Process Lists
plotInteractionEffect

Sensitivity Analysis for Gaussian Processes and Gaussian Process Lists
summary.gp

Gaussian Process Summary Information
createGP

creates a Gaussian process object
CV

Gaussian process cross-validation
mlegp-naming-functions

mlegp naming functions
gp.list

Gaussian Process Lists
nice

FANOVA formatting functions
FANOVA

Sensitivity Analysis for Gaussian Processes and Gaussian Process Lists
plot.gp

Diagnostic Plots for Gaussian processes
print.gp.list

Gaussian Process List Summary Information
mlegp-svd-functions

Singular Value Decomposition functions for mlegp