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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.

Version: 1.2.4
Depends: R (≥ 4.1.0)
Imports: cli, generics, ggplot2, lifecycle, matrixStats, posterior, rlang (≥ 1.1.0), vctrs, withr
LinkingTo: cpp11, cpp11eigen, testthat
Suggests: brms, distributional, extraDistr, ggdist, knitr, mvtnorm, patchwork, rmarkdown, testthat (≥ 3.0.0), tidyselect, uniformly, vdiffr, xml2
Published: 2026-06-30
DOI: 10.32614/CRAN.package.ernest (may not be active yet)
Author: Kyle Dewsnap ORCID iD [aut, cre, cph], TJ Mahr [rev], Robert Kubinec [rev], Michael Hughes [cph]
Maintainer: Kyle Dewsnap <kyle.dewsnap at ubc.ca>
BugReports: https://github.com/ropensci/ernest/issues
License: GPL (≥ 3)
URL: https://github.com/ropensci/ernest, https://docs.ropensci.org/ernest/
NeedsCompilation: yes
Citation: ernest citation info
Materials: README, NEWS
CRAN checks: ernest results

Documentation:

Reference manual: ernest.html , ernest.pdf
Vignettes: More Examples with ernest (source, R code)
Nested Sampling with ernest (source, R code)

Downloads:

Package source: ernest_1.2.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): ernest_1.2.4.tgz, r-oldrel (arm64): ernest_1.2.4.tgz, r-release (x86_64): ernest_1.2.4.tgz, r-oldrel (x86_64): ernest_1.2.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ernest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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