Man pages for RobustCalibration
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... |
