R-Lum/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) <doi:10.1016/j.quageo.2017.02.003> and Combes et al. (2015) <doi:10.1016/j.quageo.2015.04.001>. This includes, amongst others, data import, export, application of age models and palaeodose model.

Getting started

Package details

AuthorClaire Christophe [aut], Anne Philippe [aut, cre] (<https://orcid.org/0000-0002-5331-5087>), Sebastian Kreutzer [aut] (<https://orcid.org/0000-0002-0734-2199>), Guillaume Guérin [aut] (<https://orcid.org/0000-0001-6298-5579>), Frederik Harly Baumgarten [aut] (<https://orcid.org/0000-0002-4374-5948>), Nicolas Frerebeau [aut] (<https://orcid.org/0000-0001-5759-4944>) Université Bordeaux Montaigne [cph, fnd] CNRS [fnd] LabEx Sciences archéologiques de Bordeaux [fnd]
MaintainerAnne Philippe <anne.philippe@univ-nantes.fr>
LicenseGPL-3
Version0.3.3.9000-13
URL https://CRAN.r-project.org/package=BayLum https://crp2a.github.io/BayLum/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("R-Lum/BayLum")
R-Lum/BayLum documentation built on Sept. 24, 2024, 11 p.m.