fmcmc
0.5-2A friendly MCMC framework
Overview
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
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 68%
- Return-value docs
- 88%
- References docs
- 42%
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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.
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Dependencies
Code & Tests
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People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.5-2Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.5-12022-01-14 · diff ↗
- 0.5-02021-09-03 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.4-02020-09-01 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.3-02020-04-23 · diff ↗
- 0.2-02019-08-27
- RR 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