Package: RobustCalibration 0.5.5

RobustCalibration: Robust Calibration of Imperfect Mathematical Models

Implements full Bayesian analysis for calibrating mathematical models with new methodology for modeling the discrepancy function. It allows for emulation, calibration and prediction using complex mathematical model outputs and experimental data. See the reference: Mengyang Gu and Long Wang, 2018, Journal of Uncertainty Quantification; Mengyang Gu, Fangzheng Xie and Long Wang, 2022, Journal of Uncertainty Quantification; Mengyang Gu, Kyle Anderson and Erika McPhillips, 2023, Technometrics.

Authors:Mengyang Gu [aut, cre]

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23 exports 0.23 score 4 dependencies 17 scripts 952 downloads

Last updated 4 months agofrom:079d6402c2. Checks:OK: 9. Indexed: yes.

Exports:Accept_proposalChol_EigenGet_inv_allGet_R_newGet_R_z_newLog_marginal_postLog_marginal_post_deltaLog_marginal_post_no_discrepancymathematical_model_evalMogihammerpredictpredict_MSpredict_MS.rcalibration_MSpredict_separable_2dimpredict_separable_2dim_MSpredict.rcalibrationrcalibrationrcalibration_MSSample_deltaSample_sigma_2_theta_mSample_sigma_2_theta_m_no_discrepancyseparable_kernelshow

Dependencies:nloptrRcppRcppEigenRobustGaSP