| 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 |