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LearnBayes

2.15.2Package record

Functions for Learning Bayesian Inference

6packages dependsuggested by 2
187.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.15.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
94
Examples that run
100%69 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
0%

Also includes 45 demo scripts (run with demo())

Downloads

187.9K
CRAN downloads in the past year
Rank #1,005 · ~515/day · ~15.7K/mo
Daily download trend is not available in this view yet.
12.6K30 days
39.3K90 days
187.9K1 year
Compare downloads with other packages →
Also on1.9K r2u267 autocran3K conda_forge174 bioconda184 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing LearnBayes adds 1 package (0 with compiled code, 73 KB of source tarballs). Heaviest: coda 73 KB.

Depends (0)
none
Imports (3)
codalatticesurvival
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
6direct
29indirect
Depends 3 · Imports 3
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.0 (2007)
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.15.2Latest
    record
    2026-01-31 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 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
  • 2.15.1
    record
    2018-03-18 · diff ↗
  • 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
  • 2.15
    record
    2014-05-29 · diff ↗ ·
    removed 1 export
    pattern:.
    added 1 export
    pattern:^[[:alpha:]]+
  • R
    R 3.1.0 released · 2014-04-10
Show 17 earlier eventsHide 17 earlier events
  • R
    R 3.0.0 released · 2013-04-03
  • 2.12
    record
    2012-10-29 · diff ↗ ·
    added 1 export
    pattern:.
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • R
    R 2.12.0 released · 2010-10-15
  • 2.11
    record
    2010-07-25 · diff ↗
  • R
    R 2.11.0 released · 2010-04-22
  • R
    R 2.10.0 released · 2009-10-26
  • R
    R 2.9.0 released · 2009-04-17
  • 2.0
    record
    2009-01-05 · diff ↗
  • R
    R 2.8.0 released · 2008-10-20
  • R
    R 2.7.0 released · 2008-04-22
  • 1.2
    record
    2008-04-17 · diff ↗
  • R
    R 2.6.0 released · 2007-10-03
  • 1.0
    record
    2007-05-03
  • R
    R 2.5.0 released · 2007-04-24

Package metadata

First published
2007-05-03
Total releases
8 / 19 yrs
License
GPL (>= 2) OSI
Bundled data
26 KB / 25 files
Download size
87 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LearnBayes")
Albert, J. (2026). LearnBayes: Functions for Learning Bayesian Inference (Version 2.15.2) [Computer software]. https://doi.org/10.32614/CRAN.package.LearnBayes

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 LearnBayes version 2.15.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

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.

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