Package: pGPx 0.1.4

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>).

Authors:Dario Azzimonti [aut, cre, cph], Julien Bect [ctb], Pedro Felzenszwalb [ctb, cph]

pGPx_0.1.4.tar.gz
pGPx_0.1.4.zip(r-4.7)pGPx_0.1.4.zip(r-4.6)pGPx_0.1.4.zip(r-4.5)
pGPx_0.1.4.tgz(r-4.6-x86_64)pGPx_0.1.4.tgz(r-4.6-arm64)pGPx_0.1.4.tgz(r-4.5-x86_64)pGPx_0.1.4.tgz(r-4.5-arm64)
pGPx_0.1.4.tar.gz(r-4.7-arm64)pGPx_0.1.4.tar.gz(r-4.7-x86_64)pGPx_0.1.4.tar.gz(r-4.6-arm64)pGPx_0.1.4.tar.gz(r-4.6-x86_64)
pGPx_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
pGPx/json (API)
NEWS

# Install 'pGPx' in R:
install.packages('pGPx', repos = c('https://dazzimonti.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.18 score 1 packages 9 scripts 163 downloads 14 exports 11 dependencies

Last updated from:672e678549. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE111
linux-devel-x86_64NOTE117
source / vignettesOK141
linux-release-arm64NOTE130
linux-release-x86_64NOTE118
macos-release-arm64NOTE139
macos-release-x86_64NOTE298
macos-oldrel-arm64NOTE112
macos-oldrel-x86_64NOTE173
windows-develNOTE114
windows-releaseNOTE124
windows-oldrelNOTE186
wasm-releaseOK124

Exports:compute_contourLengthcomputeVolumesdtt_fastDTVedm_critedm_crit2expDistMeasuregrad_kweightsintegrand_edm_critkrig_weight_GPsimumax_distance_measuremax_integrand_edmoptim_dist_measuresimulate_and_interpolate

Dependencies:anMCDiceKrigingKrigInvmvtnormpbivnormpracmarandtoolboxRcppRcppArmadillorgenoudrngWELL