Package: ernest 1.2.5

Kyle Dewsnap

ernest: A Toolkit for Nested Sampling

Bayesian evidence estimation and posterior inference with the nested sampling algorithm, described in Skilling (2006) <doi:10.1214/06-BA127> and Buchner (2023) <doi:10.1214/23-SS144>, along with S3 methods for simulating uncertainty and creating visualisations.

Authors:Kyle Dewsnap [aut, cre, cph], TJ Mahr [rev], Robert Kubinec [rev], Michael Hughes [cph]

ernest_1.2.5.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ernest/json (API)

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

Reviews:rOpenSci Software Review #730

Bug tracker:https://github.com/ropensci/ernest/issues

Pkgdown/docs site:https://docs.ropensci.org

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

bayesian-inferencenested-samplingropenscistatisticscpp

5.56 score 3 stars 10 scripts 134 downloads 20 exports 49 dependencies

Last updated from:6298996309 (on main). Checks:14 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK298
linux-devel-x86_64OK325
pkgdown docsOK329
source / vignettesOK439
linux-release-arm64OK309
linux-release-x86_64OK337
macos-release-arm64OK260
macos-release-x86_64OK584
macos-oldrel-arm64OK169
macos-oldrel-x86_64OK393
windows-develOK338
windows-releaseOK310
windows-oldrelOK290
wasm-releaseOK212

Exports:as_drawsas_draws_matrixas_draws_rvarscalculatecompilecreate_likelihoodcreate_normal_priorcreate_priorcreate_uniform_priorernest_samplergeneratemulti_ellipsoidnew_ernest_lrpsproposerwmh_cubeslice_rectangleunif_cubeunif_ellipsoidupdate_lrpsvisualize

Dependencies:abindbackportsbriocallrcheckmateclicpp11cpp11eigencrayondescdiffobjdistributionalevaluatefarverfsgenericsggplot2gluegtableisobandjsonlitelabelinglifecyclemagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigpkgloadposteriorpraiseprocessxpsR6RColorBrewerrlangrprojrootS7scalestensorAtestthattibbleutf8vctrsviridisLitewaldowithr

More Examples with ernest
Multimodal Bivariate Gaussian "Blobs" | Eggbox Distribution | Incorporating Data within Likelihood Functions
Rendered frommore-ernest-runs.Rmdusingknitr::rmarkdown

Last update: 2026-06-10
Started: 2025-08-25

Nested Sampling with ernest
Bayes' Theorem and Model Evidence | Estimating Evidence with Nested Sampling | Initialization | Likelihood | Prior Distributions | Likelihood-Restricted Prior Sampler | Generating Samples | Properties of Nested Sampling Runs | Robustness | Complexity | Stopping Criteria | Uncertainty | Posterior Distributions | Conclusion
Rendered fromnested-sampling-with-ernest.Rmdusingknitr::rmarkdown

Last update: 2026-06-10
Started: 2025-03-06