A Toolkit for Nested Sampling
Overview
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.
Install
Health
- OK13 OK2026-09-20
- ERROR12 OK, 1 ERROR2026-09-13
- OK13 OK2026-09-01
- ERROR12 OK, 1 ERROR2026-08-21
- OK13 OK2026-08-05
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- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-20
- ERROR12 OK, 1 ERROR2026-07-19
- OK7 OK2026-07-01
Documentation
- Help pages
- 24 (6 internal)includes a package overview page
- Examples that run
- 100%17 run in a plain check
- Exported functions with examples
- 69%
- Documented parameters
- 82%
- Return-value docs
- 92%
- Help pages citing references
- 33%
Downloads
Repository
- PRs merged (all time)
- 91%
- Median days to close, 50 most recently updated closed issues
- 6
- Median days to close, 50 most recently updated closed PRs
- 0
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12 development-tooling and community-health practices detected across 8 families in the upstream repository
Checks run against github.com/ropensci/ernest on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-05-15
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This repository shows signs of AI coding tools.
- GitHub Copilotfirst seen 2026-05-08Pull request: opened by its own account
Dependencies
Installing ernest adds 49 packages (21 with compiled code, 22 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, cpp11eigen 1.4 MB.
Code & Tests
Datasets
People & History
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- 1.2.5Latest
- 1.2.42026-06-30
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-30
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 514 KB / 1 file
- Download size
- 1.8 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("ernest")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1063/1.1835238, 10.1214/06-ba127.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.