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baytaAAR  

Bayesian Transition Analysis with Markov Chain Monte Carlo
View on CRAN: Click here


Download and install baytaAAR package within the R console
Install from CRAN:
install.packages("baytaAAR")

Install from Github:
library("remotes")
install_github("cran/baytaAAR")

Install by package version:
library("remotes")
install_version("baytaAAR", "1.0.3")



Attach the package and use:
library("baytaAAR")
Maintained by
Nils Müller-Scheeßel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-15
Latest Update: 2026-06-15
Description:
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>.
How to cite:
Nils Müller-Scheeßel (2026). baytaAAR: Bayesian Transition Analysis with Markov Chain Monte Carlo. R package version 1.0.3, https://cran.r-project.org/web/packages/baytaAAR. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for baytaAAR
Functions, R codes and Examples using the baytaAAR R package
Full baytaAAR package functions and examples
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