mlegp v3.1.8


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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 Gaussian Process and Gaussian Process Lists
mlegp-internal Internal Functions for Gaussian Processes Gaussian Process Summary Information
createGP creates a Gaussian process object
mlegp-naming-functions mlegp naming functions
mlegp-package mlegp package Diagnostic Plots for Gaussian processes
createWindow Gaussian Process Plotting Functions Gaussian Process List Summary Information
gp.list Gaussian Process Lists Gaussian Process Summary Information 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 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 Gaussian Process List Summary Information
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Last month downloads


Type Package
Date 2020-09-22
License GPL (>= 2)
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

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