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.

Package details

AuthorMengyang Gu [aut, cre]
MaintainerMengyang Gu <mengyang@pstat.ucsb.edu>
LicenseGPL (>= 2)
Version0.5.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RobustCalibration")

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RobustCalibration documentation built on June 22, 2024, 10:37 a.m.