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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 (<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 |
| 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:
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https://CRAN.R-project.org/package=pGPx
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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