RobustCalibration: Robust Calibration of Imperfect Mathematical Models (original) (raw)

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.

Version: 0.5.6
Depends: methods
Imports: Rcpp (≥ 0.12.3), RobustGaSP (≥ 0.6.4), nloptr (≥ 1.0.4)
LinkingTo: Rcpp, RcppEigen
Published: 2025-07-15
DOI: 10.32614/CRAN.package.RobustCalibration
Author: Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials:
CRAN checks: RobustCalibration results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RobustCalibrationto link to this page.