pGPx: Pseudo-Realizations for Gaussian Process Excursions

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 (<http://cs.brown.edu/people/pfelzens/dt/index.html>).

Version: 0.1.1
Imports: Rcpp (≥ 0.12.13), DiceKriging, pbivnorm, KrigInv, rgenoud, randtoolbox, pracma, grDevices
LinkingTo: Rcpp, RcppArmadillo
Suggests: anMC, DiceDesign
Published: 2018-08-20
Author: Dario Azzimonti ORCID iD [aut, cre, cph], Julien Bect [ctb], Pedro Felzenszwalb [ctb, cph] (Original dt code, http://cs.brown.edu/people/pfelzens/dt/index.html)
Maintainer: Dario Azzimonti <dario.azzimonti at gmail.com>
License: GPL-3
URL: https://epubs.siam.org/doi/abs/10.1137/141000749
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: pGPx results

Downloads:

Reference manual: pGPx.pdf
Package source: pGPx_0.1.1.tar.gz
Windows binaries: r-devel: pGPx_0.1.1.zip, r-devel-gcc8: pGPx_0.1.1.zip, r-release: pGPx_0.1.1.zip, r-oldrel: pGPx_0.1.1.zip
OS X binaries: r-release: pGPx_0.1.1.tgz, r-oldrel: pGPx_0.1.1.tgz
Old sources: pGPx archive

Reverse dependencies:

Reverse depends: profExtrema

Linking:

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