Package: excursions 2.5.8.9001

David Bolin

excursions: Excursion Sets and Contour Credibility Regions for Random Fields

Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.

Authors:David Bolin [cre, aut], Finn Lindgren [aut], Suen Man Ho [ctb]

excursions_2.5.8.9001.tar.gz
excursions_2.5.8.9001.zip(r-4.5)excursions_2.5.8.9001.zip(r-4.4)excursions_2.5.8.9001.zip(r-4.3)
excursions_2.5.8.9001.tgz(r-4.4-x86_64)excursions_2.5.8.9001.tgz(r-4.4-arm64)excursions_2.5.8.9001.tgz(r-4.3-x86_64)excursions_2.5.8.9001.tgz(r-4.3-arm64)
excursions_2.5.8.9001.tar.gz(r-4.5-noble)excursions_2.5.8.9001.tar.gz(r-4.4-noble)
excursions_2.5.8.9001.tgz(r-4.4-emscripten)excursions_2.5.8.9001.tgz(r-4.3-emscripten)
excursions.pdf |excursions.html✨
excursions/json (API)
NEWS

# Install 'excursions' in R:
install.packages('excursions', repos = c('https://inlabru-org.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/davidbolin/excursions/issues

Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

6.93 score 3 stars 2 packages 39 scripts 520 downloads 21 exports 31 dependencies

Last updated 19 days agofrom:f6328c2f92. Checks:OK: 8 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-win-x86_64OKNov 02 2024
R-4.5-linux-x86_64OKNov 02 2024
R-4.4-win-x86_64OKNov 02 2024
R-4.4-mac-x86_64OKNov 02 2024
R-4.4-mac-aarch64OKNov 02 2024
R-4.3-win-x86_64NOTENov 02 2024
R-4.3-mac-x86_64OKNov 02 2024
R-4.3-mac-aarch64OKNov 02 2024

Exports:continuouscontourmapcontourmap.colorscontourmap.inlacontourmap.mcexc_safe_inlaexcursionsexcursions.inlaexcursions.mcexcursions.variancesgaussintlocal_exc_safe_inlarequire.nowarningssimconfsimconf.inlasimconf.mcsimconf.mixturesubmesh.gridsubmesh.meshtricontourtricontourmap

Dependencies:classclassIntcliDBIdplyre1071fansifmeshergenericsglueKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxyR6Rcpprlangs2sftibbletidyselectunitsutf8vctrswithrwk

Calculating probabilistic excursion sets and related quantities using excursions

David Bolin and Finn Lindgren

Rendered fromexcursions.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-11-01
Started: 2024-10-29

Definitions and computational methodology

David Bolin and Finn Lindgren

Rendered fromtheory.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-10-29
Started: 2024-10-29

Full vignette/examples list

Rendered fromarticles.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-11-01
Started: 2024-11-01

Readme and manuals

Help Manual

Help pageTopics
Excursions: Excursion Sets and Contour Credibility Regions for Random Fieldsexcursions-package
Calculate continuous domain excursion and credible contour setscontinuous
Contour maps and contour map quality measures for latent Gaussian modelscontourmap
Define a color map for displaying contour maps.contourmap.colors
Contour maps and contour map quality measures for latent Gaussian modelscontourmap.inla
Contour maps and contour map quality measures using Monte Carlo samplescontourmap.mc
Load INLA safely for examples and testsexc_safe_inla
Excursion Sets and Contour Credibility Regions for Random Fieldsexcursions
Excursion sets and contour credible regions for latent Gaussian modelsexcursions.inla
Excursion sets and contour credible regions using Monte Carlo samplesexcursions.mc
Calculate variances from a sparse precision matrixexcursions.variances
Sequential estimation of Gaussian integralsgaussint
Warnings free loading of add-on packagesrequire.nowarnings
Simultaneous confidence regions for Gaussian modelssimconf
Simultaneous confidence regions for latent Gaussian modelssimconf.inla
Simultaneous confidence regions using Monte Carlo samplessimconf.mc
Simultaneous confidence regions for Gaussian mixture modelssimconf.mixture
Extract a part of a gridsubmesh.grid
Extract a part of a meshsubmesh.mesh
Summarise excurobj objectsprint.excurobj print.summary.excurobj summary.excurobj
Calculate contour curves on a triangulationtricontour tricontour.fm_mesh_2d tricontour.list tricontour.matrix tricontourmap tricontourmap.fm_mesh_2d tricontourmap.list tricontourmap.matrix