Construction and Evaluation of Metamodels

crossValidation | K-fold Cross Validation |

dataIRSN5D | 5D benchmark from nuclear criticality safety assessments |

DiceEval-package | Metamodels |

foldsComposition | Setting up the Cross Validation |

formulaAm | Construction of a formula Y~s(X1)+...+s(Xp) |

formulaLm | Construction of a formula Y \~ X1+...+Xp |

MAE | Mean Absolute Error |

modelComparison | Comparison of different types of metamodels |

modelFit | Fitting metamodels |

modelPredict | Prediction at newdata for a fitted metamodel |

penaltyPolyMARS | Choice of the penalty parameter for a PolyMARS model |

R2 | Multiple R-Squared |

residualsStudy | Plot residuals |

RMA | Relative Maximal Absolute Error |

RMSE | Root Mean Squared Error |

stepEvolution | Evolution of the stepwise model |

testCrossValidation | Test the robustess of the cross-validation procedure |

testIRSN5D | A set of test data |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.