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fmcmc

0.5-2

A friendly MCMC framework

2packages depend
6.1Kdownloads / year
84.4%test coverage
11/13checks pass

Overview

About
Maintained by George Vega YonFirst published 2019-08-276 releasesCRAN page ↗GitHub ↗

Provides a friendly (flexible) Markov Chain Monte Carlo (MCMC) framework for implementing Metropolis-Hastings algorithm in a modular way allowing users to specify automatic convergence checker, personalized transition kernels, and out-of-the-box multiple MCMC chains using parallel computing. Most of the methods implemented in this package can be found in Brooks et al. (2011, ISBN 9781420079425). Among the methods included, we have: Haario (2001) doi:10.1007/s11222-011-9269-5 Adaptive Metropolis, Vihola (2012) doi:10.1007/s11222-011-9269-5 Robust Adaptive Metropolis, and Thawornwattana et al. (2018) doi:10.1214/17-BA1084 Mirror transition kernels.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.01
84.4%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
68%
Return-value docs
88%
References docs
42%

Downloads

6.1K
CRAN downloads in the past year
Rank #11,852 · ~17/day · ~505/mo
Daily download trend is not available in this view yet.
25330 days
85490 days
6.1K1 year
Compare downloads with other packages →
Also on119 r2u2 autocran65 c2d4u

Repository

Repository
16Stars
7Forks
7Open issues
1Open PRs
4Releases
170Commits
3Contributors
mcmcadaptiveparallel-computingmarkov-chain-monte-carlor-packagebayesian-inferencermetropolis-hastings
170 commits · Last activity 2025-12-13

Stars over time

2024-06-27 · 162026-07-07 · 16

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/uscbiostats/fmcmc on 2026-07-31.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (2)
data-raw/Makefile
CRAN release process (1)
cran-comments.md
Docs source (1)
README.qmd
Show all practices
Lint, format, editor (1)
RStudio project
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.3.0
Imports (6)
parallelcodastatsmethodsMASSMatrix
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Contributor, Thesis advisor
Funders (1)
Reviewers (1)
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
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.5-2Latest
    2023-08-30 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.5-1
    2022-01-14 · diff ↗
  • 0.5-0
    2021-09-03 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.4-0
    2020-09-01 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.3-0
    2020-04-23 · diff ↗
  • 0.2-0
    2019-08-27
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-27
Total releases
6 / 7 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.3.0
Bundled data
8.1 KB / 1 file
Download size
1.2 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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