This function is the environmental model where the output is the concentration of the pollutant at the space-time grid used in in Bliznyuk et al. (2008). The physical inputs are 4 dimensions.
environ.4.data(x, s=c(0.5, 1, 1.5, 2, 2.5), t=seq(from=0.3, to=60, by=0.3))
A real value of this function evaluated at x.
a 4-dimensional vector specifying input parameters.
spatial location to be evaluated.
time point to be evaluated.
tools:::Rd_package_author("RobustGaSP")
Maintainer: tools:::Rd_package_maintainer("RobustGaSP")
Bliznyuk, N., Ruppert, D., Shoemaker, C., Regis, R., Wild, S., & Mugunthan, P. (2008). Bayesian calibration and uncertainty analysis for computationally expensive models using optimization and radial basis function approximation. Journal of Computational and Graphical Statistics, 17(2), 270-294.
N. Bliznyuk, D. Ruppert, C. Shoemaker, R. Regis, S. Wild, & P. Mugunthan (2008). Bayesian calibration and uncertainty analysis for computationally expensive models using optimization and radial basis function approximation. Journal of Computational and Graphical Statistics, 17(2), 270-294.
S. Surjanovic, D. Bingham, Virtual Library of Simulation Experiments: Test Functions and Datasets, retrieved March 29, 2016, from http://www.sfu.ca/~ssurjano/fried.html.