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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.

Versions across snapshots

VersionRepositoryFileSize
0.5.6 rolling linux/jammy R-4.5 RobustCalibration_0.5.6.tar.gz 551.9 KiB
0.5.6 rolling linux/noble R-4.5 RobustCalibration_0.5.6.tar.gz 557.5 KiB
0.5.6 rolling source/ R- RobustCalibration_0.5.6.tar.gz 177.4 KiB
0.5.6 latest linux/jammy R-4.5 RobustCalibration_0.5.6.tar.gz 551.9 KiB
0.5.6 latest linux/noble R-4.5 RobustCalibration_0.5.6.tar.gz 557.5 KiB
0.5.6 latest source/ R- RobustCalibration_0.5.6.tar.gz 177.4 KiB
0.5.6 2026-04-26 source/ R- RobustCalibration_0.5.6.tar.gz 177.4 KiB
0.5.6 2026-04-23 source/ R- RobustCalibration_0.5.6.tar.gz 177.4 KiB
0.5.6 2026-04-09 windows/windows R-4.5 RobustCalibration_0.5.6.zip 872.5 KiB
0.5.5 2025-04-20 source/ R- RobustCalibration_0.5.5.tar.gz 175.5 KiB

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