R: Maximum Likelihood Estimates of Gaussian Processes

# Maximum Likelihood Estimates of Gaussian Processes

## Documentation for package ‘mlegp’ version 3.1.10

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

mlegp-package | mlegp package
anyReps | Gaussian Process Nugget Related Functions
calcPredictionError | Gaussian Process Predictions
estimateNugget | Gaussian Process Nugget Related Functions
fitGPfromR | mlegp: maximum likelihood estimation of Gaussian process parameters
is.gp | Gaussian Process and Gaussian Process Lists
is.gp.list | Gaussian Process and Gaussian Process Lists
mlegp | mlegp: maximum likelihood estimation of Gaussian process parameters
mlegp2 | mlegp: maximum likelihood estimation of Gaussian process parameters
nugget | Gaussian Process Nugget Related Functions
plot.gp | Diagnostic Plots for Gaussian processes
plot.gp.list | Diagnostics Plots for Gaussian Process Lists
plotObservedEffects | Plot Observed Values Vs. Each Dimension of the Design Matrix
plotObservedEffects.gp | Plot Observed Values Vs. Each Dimension of the Design Matrix
plotObservedEffectsDefault | Plot Observed Values Vs. Each Dimension of the Design Matrix
predict.gp | Gaussian Process Predictions
predict.gp.list | Gaussian Process Predictions
predictMu | Gaussian Process Predictions
predictNewZ | Gaussian Process Predictions
print.gp | Gaussian Process Summary Information
print.gp.list | Gaussian Process List Summary Information
summary.gp | Gaussian Process Summary Information
summary.gp.list | Gaussian Process List Summary Information
uniqueSummary | Summary of outputs for each unique input
varPerReps | Gaussian Process Nugget Related Functions