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
DESCRIPTION |NEWS
card.svg |card.png
pGPx/json (API)

# 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 269 downloads 14 exports 11 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE140
linux-devel-x86_64NOTE177
source / vignettesOK176
linux-release-arm64NOTE148
linux-release-x86_64NOTE132
macos-release-arm64NOTE165
macos-release-x86_64NOTE230
macos-oldrel-arm64NOTE159
macos-oldrel-x86_64NOTE361
windows-develNOTE105
windows-releaseNOTE123
windows-oldrelNOTE119
wasm-releaseOK164

Exports:compute_contourLengthcomputeVolumesdtt_fastDTVedm_critedm_crit2expDistMeasuregrad_kweightsintegrand_edm_critkrig_weight_GPsimumax_distance_measuremax_integrand_edmoptim_dist_measuresimulate_and_interpolate

Dependencies:anMCDiceKrigingKrigInvmvtnormpbivnormpracmarandtoolboxRcppRcppArmadillorgenoudrngWELL