Package: ernest 1.2.4

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_1.2.4.tar.gz
ernest_1.2.4.tar.gz(r-4.7-arm64)ernest_1.2.4.tar.gz(r-4.7-x86_64)ernest_1.2.4.tar.gz(r-4.6-arm64)ernest_1.2.4.tar.gz(r-4.6-x86_64)
ernest_1.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ernest/json (API)

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

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:

cpp

3.00 score 10 scripts 20 exports 49 dependencies

Last updated from:1940c7cc45. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK312
linux-devel-x86_64OK308
source / vignettesOK414
linux-release-arm64OK283
linux-release-x86_64OK303
wasm-releaseOK221

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: 2026-06-30
Started: 2026-06-30

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: 2026-06-30
Started: 2026-06-30