R Observatory: Metrics for MCMCprecision version 0.4.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MCMCprecision

0.4.2Package record

Precision of Discrete Parameters in Transdimensional MCMC

0packages depend

24.5Kdownloads / year

53.9%test coverage

13/13flavors OK

Overview

About

Maintained by Daniel W. HeckCRAN 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. 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-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). 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: 4.3 min · r-devel-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
OK12 OK2026-04-25

Show 5 earlier changesHide 5 earlier changes

NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE12 OK, 2 NOTE2026-04-10
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-09
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.2

README· In the repository, left out of the releaseVignettesYes · 1 · staticNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 9includes a package overview page
Examples that run: 100%8 run in a plain check
Exported functions with examples: 100%
Documented parameters: 96%
Return-value docs: 43%
Help pages citing references: 33%

Vignettes (1)

Heck, Overstall, Gronau, & Wagenmakers (2018, Statistics & Computing): Methods implemented in MCMCprecision PDF

How these are measured

Downloads

24.5K

CRAN downloads in the past year

Rank #2,105 · ~67/day · ~2K/mo

Releases R versions

Daily download trend is not available in this view yet.

4K30 days

8.6K90 days

24.5K1 year

Compare downloads with other packages →

Also on777 r2u3 autocran7.3K conda_forge

How downloads are counted

Repository

danheck/mcmcprecision ↗Account: danheck

0Stars

0Forks

0Open issues

0Open PRs

2Releases

70Commits

1Commit identities

70 commits · Last activity 2025-07-22

Responsiveness

not measured

Releases over time

2017-08-04 · 22026-07-07 · 2

How these are measured

PracticesBeta

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

Checks run against github.com/danheck/mcmcprecision on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, and on R-devel

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing MCMCprecision adds 5 packages (3 with compiled code, 4.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RcppArmadillo 1.0 MB.

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.

How these are counted

Code & Tests

People & History

People (1)

Daniel W. Heck

Author, Maintainer since 0.3.6 (2017)

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.4.2Latest
record
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
record
2019-12-05 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.3.9
record
2018-08-10 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.3.8
record
2018-04-08 · diff ↗ ·
removed 5 exports
best.k, dirichlet.mle, sim.mc, stationary.mle, table.mc

added 5 exports
best_models, fit_dirichlet, rmarkov, stationary_mle, transitions
0.3.7
record
2017-08-04 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.3.6
record
2017-04-03

Show 1 earlier eventHide 1 earlier event

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

Cite

Cite this package

Run in R for the authors' entry:

citation("MCMCprecision")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1007/s11222-018-9828-0.

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 v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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