Bayesian statistics in luminescence dating: The ’baSAR’-model and its implementation in the R package ’Luminescence’

Authors

  • N. Mercier IRAMAT-CRP2A, UMR 5060 CNRS - Universite Bordeaux Montaigne, Pessac
  • S. Kreutzer IRAMAT-CRP2A, UMR 5060 CNRS- Universite Bordeaux Montaigne, Pessac
  • C. Christophe IRAMAT-CRP2A, UMR 5060 CNRS - Universite Bordeaux Montaigne, Pessac
  • G. Guérin IRAMAT-CRP2A, UMR 5060 CNRS - Universite Bordeaux Montaigne, Pessac
  • P. Guibert IRAMAT-CRP2A, UMR 5060 CNRS - Universite Bordeaux Montaigne, Pessac
  • C. Lahaye IRAMAT-CRP2A, UMR 5060 CNRS - Universite Bordeaux Montaigne, Pessac
  • Ph. Lanos IRAMAT-CRP2A, UMR 5060 CNRS - Universite Bordeaux Montaigne, Pessac
  • A. Philippe Laboratoire de mathematiques Jean Leray, UMR 6629 CNRS, Université de Nantes
  • C. Tribolo IRAMAT-CRP2A, UMR 5060 CNRS - Universite Bordeaux Montaigne, Pessac

DOI:

https://doi.org/10.26034/la.atl.2016.504

Abstract

A function named analyse baSAR() was written using the statistical programming language R and its code is now available within the R package ’Luminescence’. The function allows the application of the Bayesian hierarchical model ’baSAR’ proposed by Combes et al. ` (2015) and comes with additional features to analyse luminescence data in a straight forward way. Example scripts are provided showing the possible numerical and graphical outputs.

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Published

2016-11-15

How to Cite

Mercier, N., Kreutzer, S., Christophe, C., Guérin, G., Guibert, P., Lahaye, C., Lanos, P., Philippe, A., & Tribolo, C. (2016). Bayesian statistics in luminescence dating: The ’baSAR’-model and its implementation in the R package ’Luminescence’. Ancient TL, 34(2), 14–21. https://doi.org/10.26034/la.atl.2016.504

Issue

Vol. 34 No. 2 (2016)

Section

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Copyright (c) 2016 N. Mercier, S. Kreutzer, C. Christophe, G. Guérin, P. Guibert, C. Lahaye, Ph. Lanos, A. Philippe, C. Tribolo

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.