R Observatory: Metrics for adaptMCMC version 1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

adaptMCMC

1.5

Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler

5packages depend

18Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Andreas ScheideggerFirst published 2011-12-098 releasesCRAN page ↗GitHub ↗

Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) DOI:10.1007/s11222-011-9269-5 and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.

Install

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

install.packages("adaptMCMC", 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("scheidan/adaptMCMC")

Development version from scheidan/adaptMCMC. 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-adaptmcmc

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-adaptMCMC

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-adaptMCMC

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

Health

CRAN checks

2NOTE11OK

Failing flavors

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

Slowest check: 2.0 min · r-release-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

4

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 96%
Return-value docs: 100%
References docs: 40%

Downloads

18K

CRAN downloads in the past year

Rank #3,955 · ~49/day · ~1.5K/mo

Releases R versions

Daily download trend is not available in this view yet.

68230 days

2.1K90 days

18K1 year

Compare downloads with other packages →

Also on178 r2u35 autocran72 c2d4u

Repository

GitHub ↗ scheidan/adaptmcmc

10Stars

6Forks

2Open issues

0Open PRs

0Releases

26Commits

4Contributors

License GPL-2.0 · 26 commits · Last activity 2024-01-29

Stars over time

2024-12-16 · 102026-07-07 · 10

Repository practices

Upstream repositoryBeta

Checks run against github.com/scheidan/adaptmcmc on 2026-08-16.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (4)

R >= 2.14.1parallelcodaMatrix

Imports (1)

ramcmc

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

5direct

7indirect

EpiILM selectiveInference ConsReg mixediffusion GUTS

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)

Andreas Scheidegger

no longer listed · 1.0 to 1.5

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.5Latest
2024-01-30 · current release · diff ↗
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
1.4
2021-03-29 · diff ↗
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
1.3
2018-01-14 · diff ↗
1.2
2017-07-01 · 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

Show 8 earlier events

R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
1.1
2012-06-22 · diff ↗
1.0.3
2012-05-16 · diff ↗
R
R 2.15.0 released · 2012-03-30
1.0.2
2012-01-03 · diff ↗
1.0
2011-12-09
R
R 2.14.0 released · 2011-10-31

Package metadata

First published: 2011-12-09
Total releases: 8 / 15 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.14.1
Download size: 7.2 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("adaptMCMC")

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for adaptMCMC version 1.5 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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