Bayesian Transition Analysis with Markov Chain Monte Carlo
Overview
Provides Bayesian age estimation for bioarchaeological skeletal data using ordinal probit regression models implemented in 'JAGS' and 'NIMBLE'. The package is designed to handle multiple ordinal traits of adult individuals and incorporates a Gompertz prior on age to reflect population-level mortality. It accounts for estimation uncertainties and supports full customization of model parameters and Markov Chain Monte Carlo settings. For more details see Müller-Scheeßel et al. (2026) doi:10.1002/ajpa.70289.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK6 OK2026-06-16
Documentation
- Help pages
- 17 (4 internal)includes a package overview page
- Examples that run
- 100%13 run in a plain check (13 of them under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 29% with a bibliography file
Downloads
Repository
Releases over time
9 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/isaakiel/baytaaar on 2026-10-22.
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GitHub Pages site last deployed 2026-06-16 · The repository has a site deploy workflow
pkgdown site last built 2026-06-16
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Dependencies
Installing baytaAAR adds 93 packages (51 with compiled code, 88 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
- 1.0.3Latest2026-06-15 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-15
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 1.0 KB / 2 files
- Download size
- 2.5 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("baytaAAR")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1002/ajpa.70289.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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.