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Bayesian Essentials with R

0packages depend
2.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Allows the reenactment of the R programs used in the book Bayesian Essentials with R without further programming. R code being available as well, they can be modified by the user to conduct one's own simulations. Marin J.-M. and Robert C. P. (2014) doi:10.1007/978-1-4614-8687-9.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK4 OK2026-08-28
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.7
READMEYes · 114 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
51
Examples that run
96%49 run in a plain check · 2 never run
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
14%

Also includes 8 demo scripts (run with demo())

Downloads

2.3K
CRAN downloads in the past year
Rank #15,937 · ~6/day · ~189/mo
Daily download trend is not available in this view yet.
40230 days
77790 days
2.3K1 year
Compare downloads with other packages →
Also on99 r2u29 autocran

Repository

3Stars
2Forks
0Open issues
0Open PRs
0Releases
21Commits
1Commit identities
21 commits · Last activity 2026-08-26
Responsiveness
not measured

Commits over time

2026-08-30 · 212026-09-15 · 21
PracticesBeta

Checks run against github.com/jmm34/bayess on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing bayess adds 6 packages (4 with compiled code, 5.0 MB of source tarballs). Heaviest: gplots 4.6 MB, gtools 236 KB, caTools 64 KB.

Depends (4)
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.5 (2022)

Previously maintained by Christian P. Robert (1.4).

Listed in earlier versions (3)
Show 3 peopleHide 3 people
Universite Montpellier 2
no longer listed · 1.4
Universite Paris Dauphine
no longer listed · 1.4
Robert
no longer listed · 1.7
Releases (4)

Pick two releases to compare their code metrics.

  • unarchivedReturned to CRAN
    2026-08-28
  • 1.7Latest
    record
    2026-08-28 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2026-03-25
    issues were not corrected despite reminders
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.6
    record
    2024-03-06 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-08-11
  • 1.5
    record
    2022-08-11 · diff ↗
  • archivedRemoved from CRAN
    2022-06-13
    check problems were not corrected despite reminders
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
Show 7 earlier eventsHide 7 earlier events
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • 1.4
    record
    2013-02-09
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-02-09
Total releases
4 / 13 yrs
License
GPL-2 OSI
Bundled data
73 KB / 9 files
Download size
114 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayess")
Marin, J., & Robert, C. P. (2026). bayess: Bayesian Essentials with R (Version 1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.bayess

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bayess version 1.7 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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