Calibrate GP model with DeConto and Pollard simulator data and predict values at large set of new parameter values. Uses DiceKriging package.

1 2 | ```
emulate_era(sim_inputs, sim_outputs, myvar, trend, covtype,
expt_design_par)
``` |

`sim_inputs` |
Simulator ensemble inputs, i.e. parameter values. |

`sim_outputs` |
Simulator ensemble outputs, i.e. variable values. |

`myvar` |
Variable to emulate. |

`trend` |
Gaussian Process mean function. |

`covtype` |
Gaussian Process covariance function. |

`expt_design_par` |
Parameter values at which to make predictions. |

tamsinedwards/revisitmici documentation built on May 13, 2019, 9:53 p.m.

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