R Observatory: Metrics for runMCMCbtadjust version 1.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

runMCMCbtadjust

Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters

0packages depend

2.9Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Frédéric GosselinCRAN page ↗

The function runMCMC_btadjust() returns a mcmc.list object which is the output of a Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' - after adjusting burn-in and thinning parameters to meet pre-specified criteria in terms of convergence & effective sample size. Used with 'nimble', runMCMC_btadjust() allows extra calculations (e.g. information criteria for model comparison and goodness-of-fit p-values for model diagnosis).

Changes in 1.1.3

Mainly technical bug fixes:

due to CRAN constraints, I had to put parallelizeInitExpr in control.MCMC to NULL. The user now has to specify the expression himself. This implied rather numerous changes, including in vignettes.
changed the declaration of Author in DESCRIPTION file
due to incompatibilities with the 1.4.0 version of Nimble, changed the constraints on Nimble version in DESCRIPTION file

From NEWS.md in the release

Install

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

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

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

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-runmcmcbtadjust

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-runMCMCbtadjust

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-runMCMCbtadjust

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.1 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE7 OK, 1 NOTE2026-03-25

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.3

READMENoVignettesYes · 3 · staticNEWSYes · 100% structured · mentions 1.1.3Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3 (1 internal)includes a package overview page
Examples that run: 0%2 never run
Exported functions with examples: 100%
Documented parameters: 61%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (3)

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #9,771 · ~8/day · ~242/mo

Releases R versions

Daily download trend is not available in this view yet.

36330 days

1K90 days

2.9K1 year

Compare downloads with other packages →

Also on81 r2u8 autocran

How downloads are counted

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

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

Depends (1)

R >= 3.5.0

Imports (1)

coda

LinkingTo (0)

none

Suggests (16)

nimble rjags runjags greta R6 tensorflow ggmcmc rstan knitr markdown testthat nimbleAPT nimbleHMCparallelHmisc moments

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Frédéric Gosselin

Maintainer since 1.0.0 (2023), Author

INRAE

Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

Copyright holder

INRAE

Releases (10)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-03-24
1.1.3Latest
record
2026-03-24 · current release · diff ↗
archivedRemoved from CRAN
2025-11-27
issues were not corrected despite reminders
R
R 4.5.0 released · 2025-04-11
1.1.2
record
2024-08-28 · diff ↗
1.1.1
record
2024-06-05 · diff ↗
1.1.0
record
2024-04-25 · diff ↗ ·
added 1 export
findMCMC_strong_corrs
R
R 4.4.0 released · 2024-04-24
1.0.5
record
2023-12-13 · diff ↗
1.0.4
record
2023-11-10 · diff ↗
1.0.3
record
2023-07-20 · diff ↗
1.0.2
record
2023-07-07 · diff ↗
1.0.1
record
2023-06-29 · diff ↗
1.0.0
record
2023-06-19
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-06-19
Total releases: 10 / 3 yrs
License: CECILL-2.1
Additional repositories: arthur-f-rossignol.github.io
Minimum R: ≥ 3.5.0
Download size: 286 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("runMCMCbtadjust")

Format

Gosselin, F., & Institut national de recherche pour l'agriculture, l'alimentation et l'environnement, . (2026). runMCMCbtadjust: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters (Version 1.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.runMCMCbtadjust

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for runMCMCbtadjust version 1.1.3 [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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