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:
pGPx_0.1.4.tar.gz
pGPx_0.1.4.zip(r-4.5)pGPx_0.1.4.zip(r-4.4)pGPx_0.1.4.zip(r-4.3)
pGPx_0.1.4.tgz(r-4.5-x86_64)pGPx_0.1.4.tgz(r-4.5-arm64)pGPx_0.1.4.tgz(r-4.4-x86_64)pGPx_0.1.4.tgz(r-4.4-arm64)pGPx_0.1.4.tgz(r-4.3-x86_64)pGPx_0.1.4.tgz(r-4.3-arm64)
pGPx_0.1.4.tar.gz(r-4.5-noble)pGPx_0.1.4.tar.gz(r-4.4-noble)
pGPx_0.1.4.tgz(r-4.4-emscripten)pGPx_0.1.4.tgz(r-4.3-emscripten)
pGPx.pdf |pGPx.html✨
pGPx/json (API)
NEWS
| # Install 'pGPx' in R: |
| install.packages('pGPx', repos = c('https://dazzimonti.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:672e678549. Checks:4 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 07 2025 |
| R-4.5-win-x86_64 | NOTE | Mar 07 2025 |
| R-4.5-mac-x86_64 | NOTE | Mar 07 2025 |
| R-4.5-mac-aarch64 | NOTE | Mar 07 2025 |
| R-4.5-linux-x86_64 | NOTE | Mar 07 2025 |
| R-4.4-win-x86_64 | NOTE | Mar 07 2025 |
| R-4.4-mac-x86_64 | NOTE | Mar 07 2025 |
| R-4.4-mac-aarch64 | NOTE | Mar 07 2025 |
| R-4.4-linux-x86_64 | NOTE | Mar 07 2025 |
| R-4.3-win-x86_64 | OK | Mar 07 2025 |
| R-4.3-mac-x86_64 | OK | Mar 07 2025 |
| R-4.3-mac-aarch64 | OK | Mar 07 2025 |
Exports:compute_contourLengthcomputeVolumesdtt_fastDTVedm_critedm_crit2expDistMeasuregrad_kweightsintegrand_edm_critkrig_weight_GPsimumax_distance_measuremax_integrand_edmoptim_dist_measuresimulate_and_interpolate
Dependencies:anMCDiceKrigingKrigInvmvtnormpbivnormpracmarandtoolboxRcppRcppArmadillorgenoudrngWELL
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute contour lenghts | compute_contourLength |
| Compute Excursion Volume Distribution | computeVolumes |
| Rcpp implementation of Felzenszwalb distance transfom | dtt_fast |
| Compute Distance Transform Variability | DTV |
| Distance in measure criterion | edm_crit |
| Distance in measure criterion | edm_crit2 |
| Compute expected distance in measure of approximate excursion set | expDistMeasure |
| Gradient of the weights for interpolating simulations | grad_kweights |
| Integrand of the distance in measure criterion | integrand_edm_crit |
| Weights for interpolating simulations | krig_weight_GPsimu |
| Minimize the distance in measure criterion | max_distance_measure |
| Maximize the integrand distance in measure criterion | max_integrand_edm |
| Choose simulation points | optim_dist_measure |
| Simulate and interpolate | simulate_and_interpolate |
