Package: excursions 2.5.11.9000

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_2.5.11.9000.tar.gz
excursions_2.5.11.9000.zip(r-4.7)excursions_2.5.11.9000.zip(r-4.6)excursions_2.5.11.9000.zip(r-4.5)
excursions_2.5.11.9000.tgz(r-4.6-x86_64)excursions_2.5.11.9000.tgz(r-4.6-arm64)excursions_2.5.11.9000.tgz(r-4.5-x86_64)excursions_2.5.11.9000.tgz(r-4.5-arm64)
excursions_2.5.11.9000.tar.gz(r-4.7-arm64)excursions_2.5.11.9000.tar.gz(r-4.7-x86_64)excursions_2.5.11.9000.tar.gz(r-4.6-arm64)excursions_2.5.11.9000.tar.gz(r-4.6-x86_64)
excursions_2.5.11.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
excursions/json (API)

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

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

Pkgdown/docs site:https://davidbolin.github.io

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

On CRAN:

Conda:

gslcppopenmp

7.11 score 8 stars 1 packages 60 scripts 340 downloads 21 exports 32 dependencies

Last updated from:5afa7907ea. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK247
linux-devel-x86_64OK192
source / vignettesOK287
linux-release-arm64OK175
linux-release-x86_64OK186
macos-release-arm64OK116
macos-release-x86_64OK214
macos-oldrel-arm64OK167
macos-oldrel-x86_64OK242
windows-develOK157
windows-releaseOK163
windows-oldrelOK167
wasm-releaseOK154

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

Dependencies:classclassIntcliDBIdplyre1071fmeshergenericsglueKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxyR6Rcpprlangs2sfspsplancstibbletidyselectunitsutf8vctrswithrwk

Calculating probabilistic excursion sets and related quantities using excursions
Excursion sets and contour credible regions | Analysis of contour maps | Continuous domain interpretations | Simultaneous confidence bands | Gaussian integrals | Plotting | References
Rendered fromexcursions.Rmdusingknitr::rmarkdown

Last update: 2025-12-14
Started: 2024-10-29

Full vignette/examples list
Package vignettes | Package examples
Rendered fromarticles.Rmdusingknitr::rmarkdown

Last update: 2025-12-14
Started: 2024-11-01

Definitions and computational methodology
Definitions | Excursion sets | Contour credible regions and level avoiding sets | Excursion functions | Contour maps and their quality measures | Simultaneous confidence bands | Computational methods | Gaussian integrals | Handling non-Gaussian data | Continuous domain interpolations | References
Rendered fromtheory.Rmdusingknitr::rmarkdown

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

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