BayLum
Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating
Bayesian analysis of luminescence data and C-14 age
estimates. Bayesian models are based on the following publications:
Combes, B. & Philippe, A. (2017)
BayLum 
An R package for chronological Bayesian models integrated for Optically Stimulated (OSL) Luminescence Dating
To cite the R package 'BayLum' please cite the R package itself and the
following article:
Christophe C, Philippe A, Kreutzer S, Guérin G, Baumgarten F,
Frerebeau N (2025). _BayLum: Chronological Bayesian Models
Integrating Optically Stimulated Luminescence and Radiocarbon Age
Dating_. R package version 0.3.3,
<https://CRAN.r-project.org/package=BayLum>.
Philippe A, Guerin G, Kreutzer S (2019). "BayLum - An R package for
Bayesian analysis of OSL ages: An introduction." _Quaternary
Geochronology_, *49*, 16-24. doi:10.1016/j.quageo.2018.05.009
<https://doi.org/10.1016/j.quageo.2018.05.009>.
Installation
You need to have JAGS installed on your computer.
You can install the released version of BayLum from CRAN with:
install.packages("BayLum")
And the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("crp2a/BayLum")
Please note that development versions may change day by day.
License
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Acknowledgements
The development of BayLum received a state financial support managed by the Agence Nationale de la Recherche (France) through the program Investissements d’avenir (ref. ANR-10-LABX-52) between 2015 and 2018.