Description Usage Arguments Examples

validating the emulator emulator

1 2 |

`emulator` |
A fit object of class inheriting from |

`new.inputs` |
A data matrix of input(s) at which emulation is desired (new inputs).
Must contain at least all parameters given in |

`new.outputs` |
A matrix outputs used to validate the emulator predictions. This Matrix must have columns equal to the number of outputs. |

`emulator.predictions` |
Output generated from the |

`verbose` |
Defaults to TRUE. If FALSE, text under graphs (explanations) will not appear. |

1 2 3 4 5 6 7 8 9 10 | ```
# Fit the emulator
fit <- fitEmulator(inputs = surfebm[1:25, 1:2],
outputs = surfebm[1:25, 3, drop = FALSE])
# Use fitted emulator to predict posterior means and variances at the new points
predictions <- predict(fit, surfebm[26:35, 1:2], sd = FALSE, var.cov = TRUE)
# Compare predictions with true values for the new inputs
# Can also compare accuracy of prediction based on posterior variance
validateEmulatorApp(fit, surfebm[26:35, 1:2], surfebm[26:35, 3], predictions, verbose = FALSE, launch.browser = TRUE)
``` |

OakleyJ/MUCM documentation built on May 7, 2019, 9:01 p.m.

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