Robust Calibration of Imperfect Mathematical Models

Accept_proposal | Determine whether we accept the proposed poserior sample at... |

Chol_Eigen | Cholesky decomposition of a symmetric matrix. |

Get_inv_all | Produce the inversion of the covariances of the model... |

Get_R_new | Cholesky decomposition of the correlation matrix in GaSP. |

Get_R_z_new | Cholesky decomposition of the covariance matrix in S-GaSP. |

Log_marginal_post | Natural Logorithm of the posterior. |

Log_marginal_post_delta | Natural Logorithm of the posterior of the discrepancy in... |

Log_marginal_post_no_discrepancy | Natural Logorithm of the posterior with no discrepancy... |

mathematical_model_eval | Evaluation of the mathmatical model at given observed inputs... |

Mogihammer | A geophysical model for the ground deformation in Kilauea. |

post_sample | Posterior sampling. |

post_sample_MS | Posterior sampling. |

post_sample_no_discrepancy | Posterior sampling for the model with no discrepancy... |

post_sample_with_discrepancy | Posterior sampling for the model with a discrepancy function |

predict_MS.rcalibration_MS | Prediction for the robust calibration model for multiple... |

predictobj.rcalibration-class | Predictive results for the Robust Calibration class |

predictobj.rcalibration_MS-class | Predictive results for the Robust Calibration class |

predict.rcalibration | Prediction for the robust calibration model |

predict_separable_2dim | Fast prediction when the test points lie on a 2D lattice. |

predict_separable_2dim_MS | Fast prediction when the test points lie on a 2D lattice for... |

rcalibration | Setting up the robust Calibration model |

rcalibration-class | Robust Calibration class |

rcalibration_MS | Setting up the robust Calibration model for multiple sources... |

rcalibration_MS-class | Robust Calibration for multiple sources class |

RobustCalibration-package | Robust Calibration of Imperfect Mathematical Models |

Sample_delta | Sample the model discrepancy. |

Sample_sigma_2_theta_m | Sample the variance and mean parameters. |

Sample_sigma_2_theta_m_no_discrepancy | Sample the variance and mean parameters with no discrepancy... |

separable_kernel | Product correlation matrix with the product form |

show.rcalibration | Show an Robust Calibration object. |

Update_R_inv_y | Update the inverse of covariance multiplied by the outputs in... |

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