mathematical_model_eval: Evaluation of the mathmatical model at given observed inputs...

Description Usage Arguments Value Author(s) References

Description

This function evaluates the mathematical model at given observed inputs and calibration parameters.

Usage

1
mathematical_model_eval(input,theta,simul_type, emulator,math_model)

Arguments

input

a matrix of the observed inputs.

theta

a vector of calibration parameters.

simul_type

tpye of math model. If the simul_type is 0, it means we use the RobustGaSP R package to emulate the math model. If the simul_type is 1, it means the function of the math model is given by the user. When simul_type is 2 or 3, the mathematical model is the geophyiscal model for Kilauea Volcano. If the simul_type is 2, it means it is for the ascending mode InSAR data; if the simul_type is 3, it means it is for the descending mode InSAR data.

emulator

an S4 class of rgasp model from the RobustGaSP R Package.

math_model

a function for the math model to be calibrated.

Value

a vector of outputs from the math model or its emulator at given observed inputs and calibration parameters.

Author(s)

Mengyang Gu [aut, cre]

Maintainer: Mengyang Gu <mgu6@jhu.edu>

References

A. O'Hagan and M. C. Kennedy (2001), Bayesian calibration of computer models, Journal of the Royal Statistical Society: Series B (Statistical Methodology, 63, 425-464.

K. R. Anderson and M. P. Poland (2016), Bayesian estimation of magma supply, storage, and eroption rates using a multiphysical volcano model: Kilauea volcano, 2000-2012.. Eath and Planetary Science Letters, 447, 161-171.

K. R. Anderson and M. P. Poland (2017), Abundant carbon in the mantle beneath Hawaii. Nature Geoscience, 10, 704-708.


RobustCalibration documentation built on May 2, 2019, 9:36 a.m.