Chronological Bayesian Models Integrating Optically Stimulated Luminescence and C-14 Dating
Source:R/BayLum-package.R
BayLum-package.RdA collection of various R functions for Bayesian analysis of luminescence data and C-14 age estimates. This includes, amongst others, data import, export, application of age and palaeodose models.
Details
This package is based on the functions: [Generate_DataFile()] and [Generate_DataFile_MG()] to import luminescence data. These functions create a list containing all informations to compute age of single-grain OSL measurements for the first function and multi-grain OSL measurements for the second.
The functions: [Age_Computation()] and [AgeS_Computation()] use Bayesian analysis for OSL age estimation for one or various samples according to difference models (e.g. different dose-response curves and different equivalent dose distributions around the palaeodose).
It is possible to consider various BIN/BINX-files per sample, to compute ages of samples in stratigraphic constraints and to integrate systematic errors.
It is possible to calibrate C-14 age with the function [AgeC14_Computation()]. We can also estimate chronology containing 14C age and OSL samples with the function [Age_OSLC14()].
Note
This work 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).
References
Philippe, A., Guérin, 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
Author
Maintainer: Anne Philippe anne.philippe@univ-nantes.fr (ORCID)
Authors:
Claire Christophe
Sebastian Kreutzer (ORCID)
Guillaume Guérin (ORCID)
Frederik Harly Baumgarten (ORCID)
Nicolas Frerebeau (ORCID)
Other contributors:
Université Bordeaux Montaigne [copyright holder, funder]
CNRS [funder]
LabEx Sciences archéologiques de Bordeaux [funder]