Bayesian Model Calibration
Overview
Package provides tools for modular Bayesian model calibration. these tools allow for posterior exploration with sampling methods including tempering and adaptive Markov Chain Monte Carlo (MCMC). Allows for pooled calibration or hierarchal calibration of parameters. For more information see Francom et al., 2025 DOI:10.1137/24M1644092.
- Bugfixes for tempering swaps
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-06-20
Documentation
- Help pages
- 13
- Examples that run
- no examples
- Exported functions with examples
- 0%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- example HTML
Downloads
Repository
- PRs merged (all time)
- 80%
- Median days to close, 50 most recently updated closed issues
- 10
- Median days to close, 50 most recently updated closed PRs
- 3
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4 development-tooling and community-health practices detected across 3 families in the upstream repository
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This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-05-04Named in .Rbuildignore: .claudePull request it wrote: opened by a project memberCommits: at least 9 crediting it in the message
Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2026-06-19
- Total releases
- 4 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 3.0 MB
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