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 (2017) <arXiv:1707.08215>.

Version: 0.5.0
Depends: methods
Imports: Rcpp, RobustGaSP
LinkingTo: Rcpp, RcppEigen
Published: 2018-02-28
Author: Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mgu6 at jhu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: RobustCalibration results

Downloads:

Reference manual: RobustCalibration.pdf
Package source: RobustCalibration_0.5.0.tar.gz
Windows binaries: r-prerel: RobustCalibration_0.5.0.zip, r-release: RobustCalibration_0.5.0.zip, r-oldrel: RobustCalibration_0.5.0.zip
OS X binaries: r-prerel: RobustCalibration_0.5.0.tgz, r-release: RobustCalibration_0.5.0.tgz

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