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) <arXiv:1707.08215>, Mengyang Gu, Fangzheng Xie and Long Wang (2021) <arXiv:1807.03829>, Mengyang Gu, Kyle Anderson and Erika McPhillips (2021) <arXiv:1810.11664>.

Version: 0.5.4
Depends: methods
Imports: Rcpp (≥ 0.12.3), RobustGaSP (≥ 0.6.4), nloptr (≥ 1.0.4)
LinkingTo: Rcpp, RcppEigen
Published: 2023-09-07
Author: Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang at pstat.ucsb.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: RobustCalibration results

Documentation:

Reference manual: RobustCalibration.pdf

Downloads:

Package source: RobustCalibration_0.5.4.tar.gz
Windows binaries: r-devel: RobustCalibration_0.5.4.zip, r-release: RobustCalibration_0.5.4.zip, r-oldrel: RobustCalibration_0.5.4.zip
macOS binaries: r-release (arm64): RobustCalibration_0.5.4.tgz, r-oldrel (arm64): RobustCalibration_0.5.4.tgz, r-release (x86_64): RobustCalibration_0.5.4.tgz
Old sources: RobustCalibration archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RobustCalibration to link to this page.