Computes pseudo-realizations from the posterior distribution of a Gaussian Process (GP) with the method described in Azzimonti et al. (2016) <doi:10.1137/141000749>. The realizations are obtained from simulations of the field at few well chosen points that minimize the expected distance in measure between the true excursion set of the field and the approximate one. Also implements a R interface for (the main function of) Distance Transform of sampled Functions (<https://cs.brown.edu/people/pfelzens/dt/index.html>).
Version: 0.1.4 Imports: Rcpp (≥ 0.12.13), DiceKriging, pbivnorm, KrigInv, rgenoud, randtoolbox, pracma, grDevices LinkingTo: Rcpp, RcppArmadillo Suggests: anMC, DiceDesign Published: 2023-08-23 DOI: 10.32614/CRAN.package.pGPx Author: Dario Azzimonti [aut, cre, cph], Julien Bect [ctb], Pedro Felzenszwalb [ctb, cph] (Original dt code, https://cs.brown.edu/people/pfelzens/dt/index.html) Maintainer: Dario Azzimonti <dario.azzimonti at gmail.com> License: GPL-3 URL: https://doi.org/10.1137/141000749 NeedsCompilation: yes Materials: README NEWS CRAN checks: pGPx results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=pGPx to link to this page.
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