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RobustCalibration (version 0.5.2)

Robust Calibration of Imperfect Mathematical Models

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) , Mengyang Gu, Fangzheng Xie and Long Wang (2021) , Mengyang Gu, Kyle Anderson and Erika McPhillips (2021) .

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Version

Install

install.packages('RobustCalibration')

Monthly Downloads

162

Version

0.5.2

License

GPL (>= 2)

Maintainer

Mengyang Gu

Last Published

January 11th, 2022

Functions in RobustCalibration (0.5.2)

RobustCalibration-package

tools:::Rd_package_title("RobustCalibration")
Sample_sigma_2_theta_m_no_discrepancy

Sample the variance and mean parameters with no discrepancy function.
Sample_sigma_2_theta_m

Sample the variance and mean parameters.
Mogihammer

A geophysical model for the ground deformation in Kilauea.
Accept_proposal

Determine whether we accept the proposed poserior sample at one step of MCMC.
Get_R_new

Cholesky decomposition of the correlation matrix in GaSP.
Log_marginal_post

Natural Logorithm of the posterior.
Log_marginal_post_no_discrepancy

Natural Logorithm of the posterior with no discrepancy function.
Chol_Eigen

Cholesky decomposition of a symmetric matrix.
Get_R_z_new

Cholesky decomposition of the covariance matrix in S-GaSP.
predict

Prediction for the robust calibration model
mathematical_model_eval

Evaluation of the mathmatical model at given observed inputs and calibration parameters.
Update_R_inv_y

Update the inverse of covariance multiplied by the outputs in the S-GaSP model.
predict_separable_2dim

Fast prediction when the test points lie on a 2D lattice.
predictobj.rcalibration-class

Predictive results for the Robust Calibration class
post_sample_MS

Posterior sampling.
post_sample

Posterior sampling.
predict_MS

Prediction for the robust calibration model for multiple sources
rcalibration_MS-class

Robust Calibration for multiple sources class
rcalibration

Setting up the robust Calibration model
post_sample_no_discrepancy

Posterior sampling for the model with no discrepancy function.
post_sample_with_discrepancy

Posterior sampling for the model with a discrepancy function
show

Show an Robust Calibration object.
rcalibration_MS

Setting up the robust Calibration model for multiple sources data
predictobj.rcalibration_MS-class

Predictive results for the Robust Calibration class
rcalibration-class

Robust Calibration class