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RobustCalibration
View on CRAN: Click
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Download and install RobustCalibration package within the R console
Install from CRAN:
install.packages("RobustCalibration")
Install from Github:
library("remotes")
install_github("cran/RobustCalibration")
Install by package version:
library("remotes")
install_version("RobustCalibration", "0.5.4")
Attach the package and use:
library("RobustCalibration")
Maintained by
Mengyang Gu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-28
Latest Update: 2023-09-07
Description:
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) <doi:10.48550/arXiv.1707.08215>, Mengyang Gu, Fangzheng Xie and Long Wang (2021) <doi:10.48550/arXiv.1807.03829>, Mengyang Gu, Kyle Anderson and Erika McPhillips (2021) <doi:10.48550/arXiv.1810.11664>.
How to cite:
Mengyang Gu (2018). RobustCalibration: Robust Calibration of Imperfect Mathematical Models. R package version 0.5.4, https://cran.r-project.org/web/packages/RobustCalibration
Previous versions and publish date:
Other packages that cited RobustCalibration R package
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Other R packages that RobustCalibration depends,
imports, suggests or enhances
Functions, R codes and Examples using
the RobustCalibration R package
Some associated functions: Accept_proposal . Chol_Eigen . Get_R_new . Get_R_z_new . Get_inv_all . Log_marginal_post . Log_marginal_post_delta . Log_marginal_post_no_discrepancy . Mogihammer . RobustCalibration-package . Sample_delta . Sample_sigma_2_theta_m . Sample_sigma_2_theta_m_no_discrepancy . Update_R_inv_y . mathematical_model_eval . post_sample . post_sample_MS . post_sample_no_discrepancy . post_sample_with_discrepancy . predict.rcalibration . predict_MS.rcalibration_MS . predict_separable_2dim . predict_separable_2dim_MS . predictobj.rcalibration-class . predictobj.rcalibration_MS-class . rcalibration-class . rcalibration . rcalibration_MS-class . rcalibration_MS . separable_kernel . show.rcalibration .
Some associated R codes: RcppExports.R . functions.R . onAtUn.R . predict.R . predict_MS.R . rcalibration.R . rcalibration_MS.R . structure.R . Full RobustCalibration package functions and examples
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