R Observatory: Metrics for MCMCprecision version 0.4.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MCMCprecision

0.4.2

Precision of Discrete Parameters in Transdimensional MCMC

0packages depend

23.9Kdownloads / year

53.9%test coverage

13/13checks pass

Overview

About

Maintained by Daniel W. HeckFirst published 2017-04-036 releasesCRAN page ↗GitHub ↗

Estimates the precision of transdimensional Markov chain Monte Carlo (MCMC) output, which is often used for Bayesian analysis of models with different dimensionality (e.g., model selection). Transdimensional MCMC (e.g., reversible jump MCMC) relies on sampling a discrete model-indicator variable to estimate the posterior model probabilities. If only few switches occur between the models, precision may be low and assessment based on the assumption of independent samples misleading. Based on the observed transition matrix of the indicator variable, the method of Heck, Overstall, Gronau, & Wagenmakers (2019, Statistics & Computing, 29, 631-643) doi:10.1007/s11222-018-9828-0 draws posterior samples of the stationary distribution to (a) assess the uncertainty in the estimated posterior model probabilities and (b) estimate the effective sample size of the MCMC output.

Install

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

install.packages("MCMCprecision", 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("danheck/MCMCprecision")

Development version from danheck/MCMCprecision. 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-mcmcprecision

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-MCMCprecision

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-MCMCprecision

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

Health

CRAN checks

13OK

Slowest check: 4.3 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.17

53.9%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 3 earlier snapshots

NOTE2026-04-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-09
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 96%
Return-value docs: 43%
References docs: 33%

Downloads

23.9K

CRAN downloads in the past year

Rank #2,776 · ~66/day · ~2K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.9K30 days

5.7K90 days

23.9K1 year

Compare downloads with other packages →

Also on478 r2u25 autocran6.5K conda_forge

Repository

GitHub ↗ danheck/mcmcprecision

0Stars

0Forks

0Open issues

0Open PRs

2Releases

70Commits

1Contributors

70 commits · Last activity 2025-07-22

Releases over time

2017-08-04 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/danheck/mcmcprecision on 2026-08-23.

Continuous integration (1)

GitHub Actions

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (6)

RcppparallelutilsstatsMatrixcombinat

LinkingTo (4)

Rcpp RcppArmadillo RcppProgress RcppEigen

Suggests (2)

testthat R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Daniel W. Heck

Author, Maintainer

Authors (1)

Daniel W. Heck

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.4.2Latest
2025-07-22 · 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
0.4.0
2019-12-05 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.3.9
2018-08-10 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.3.8
2018-04-08 · diff ↗
0.3.7
2017-08-04 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.3.6
2017-04-03

Show 1 earlier events

R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-04-03
Total releases: 6 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Download size: 382 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MCMCprecision")

Format

Heck, D. W. (2025). MCMCprecision: Precision of Discrete Parameters in Transdimensional MCMC (Version 0.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.MCMCprecision

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 MCMCprecision version 0.4.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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