BayesianTools

0.1.9

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

8packages depend

25.1Kdownloads / year

56.5%test coverage

12/13checks pass

Overview

About

Maintained by Florian HartigFirst published 2017-02-0610 releasesCRAN page ↗GitHub ↗

General-purpose MCMC and SMC samplers, as well as plots and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("BayesianTools", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("florianhartig/BayesianTools")

Development version from florianhartig/BayesianTools. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bayesiantools

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BayesianTools

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BayesianTools

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

1NOTE12OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 5.8 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.12

56.5%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 2 earlier snapshots

OK2026-03-15
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
5 OK · 9 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 97%
Documented parameters: 95%
Return-value docs: 20%
References docs: 19%

Downloads

25.1K

CRAN downloads in the past year

Rank #2,908 · ~69/day · ~2.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.3K30 days

5.1K90 days

25.1K1 year

Compare downloads with other packages →

Also on489 r2u14 autocran51 c2d4u

Repository

GitHub ↗ florianhartig/bayesiantools

130Stars

32Forks

87Open issues

2Open PRs

18Releases

685Commits

24Contributors

cranmcmcsmcbayesecological-modelssystems-biologyoptimization

685 commits · Last activity 2026-03-10 · 0% stars, 30d

Stars over time

2025-07-30 · 1242026-07-07 · 130

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/florianhartig/bayesiantools on 2026-08-02.

Continuous integration (2)

GitHub ActionsTravis CI

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.1.2

Imports (17)

coda emulator mvtnorm tmvtnorm IDPmisc Rcpp ellipse numDeriv msmMASSMatrixstatsutilsgraphicsDHARMa gap bridgesampling

LinkingTo (1)

Rcpp

Suggests (6)

DEoptim sensitivity knitr rmarkdown roxygen2 testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

8direct

0indirect

DPTM eDITH rsofun skytrackr NRMstatsML apsimx pttstability r3PG

Code & Tests

People & History

People (6)

Maintainer (1)

Florian Hartig

Author, Maintainer

Authors (3)

Florian Hartig

Author, Maintainer

Francesco Minunno

Author

Stefan Paul

Author

Contributors (3)

David Cameron

Contributor

Tankred Ott

Contributor · added in 0.1.3

Maximilian Pichler

Contributor · added in 0.1.5

Package Timeline

10 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.9Latest
2026-03-10 · 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
0.1.8
2023-01-30 · diff ↗
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
0.1.7
2019-12-09 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.6
2019-01-21 · diff ↗
0.1.5
2018-07-16 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1.4
2017-12-20 · diff ↗
0.1.3
2017-08-02 · diff ↗

Show 5 earlier events

0.1.2
2017-05-27 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.1.1
2017-04-05 · diff ↗
0.1.0
2017-02-06
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-02-06
Total releases: 10 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.1.2
Download size: 556 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference

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