Package: RobustCalibration 0.5.5
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.
Authors:
RobustCalibration_0.5.5.tar.gz
RobustCalibration_0.5.5.zip(r-4.5)RobustCalibration_0.5.5.zip(r-4.4)RobustCalibration_0.5.5.zip(r-4.3)
RobustCalibration_0.5.5.tgz(r-4.4-x86_64)RobustCalibration_0.5.5.tgz(r-4.4-arm64)RobustCalibration_0.5.5.tgz(r-4.3-x86_64)RobustCalibration_0.5.5.tgz(r-4.3-arm64)
RobustCalibration_0.5.5.tar.gz(r-4.5-noble)RobustCalibration_0.5.5.tar.gz(r-4.4-noble)
RobustCalibration_0.5.5.tgz(r-4.4-emscripten)RobustCalibration_0.5.5.tgz(r-4.3-emscripten)
RobustCalibration.pdf |RobustCalibration.html✨
RobustCalibration/json (API)
| # Install 'RobustCalibration' in R: |
| install.packages('RobustCalibration', repos = c('https://uncertaintyquantification.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:079d6402c2. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 28 2024 |
| R-4.5-win-x86_64 | OK | Oct 28 2024 |
| R-4.5-linux-x86_64 | OK | Oct 28 2024 |
| R-4.4-win-x86_64 | OK | Oct 28 2024 |
| R-4.4-mac-x86_64 | OK | Oct 28 2024 |
| R-4.4-mac-aarch64 | OK | Oct 28 2024 |
| R-4.3-win-x86_64 | OK | Oct 28 2024 |
| R-4.3-mac-x86_64 | OK | Oct 28 2024 |
| R-4.3-mac-aarch64 | OK | Oct 28 2024 |
Exports:Accept_proposalChol_EigenGet_inv_allGet_R_newGet_R_z_newLog_marginal_postLog_marginal_post_deltaLog_marginal_post_no_discrepancymathematical_model_evalMogihammerpredictpredict_MSpredict_MS.rcalibration_MSpredict_separable_2dimpredict_separable_2dim_MSpredict.rcalibrationrcalibrationrcalibration_MSSample_deltaSample_sigma_2_theta_mSample_sigma_2_theta_m_no_discrepancyseparable_kernelshow
Dependencies:nloptrRcppRcppEigenRobustGaSP
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust Calibration of Imperfect Mathematical Models | RobustCalibration-package RobustCalibration |
| Prediction for the robust calibration model | predict predict,rcalibration-method predict.rcalibration |
| Prediction for the robust calibration model for multiple sources | predict_MS predict_MS,rcalibration_MS-method predict_MS.rcalibration_MS |
| Predictive results for the Robust Calibration class | predictobj.rcalibration_MS predictobj.rcalibration_MS-class |
| Predictive results for the Robust Calibration class | predictobj.rcalibration predictobj.rcalibration-class |
| Setting up the robust Calibration model | rcalibration rcalibration-method |
| Setting up the robust Calibration model for multiple sources data | rcalibration_MS rcalibration_MS-method |
| Robust Calibration for multiple sources class | rcalibration_MS-class |
| Robust Calibration class | rcalibration-class |
| Show an Robust Calibration object. | show show,rcalibration-method show.rcalibration show.rcalibration-class |
