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.

Version: 0.3.1
Depends: R (≥ 4.1), utils, coda (≥ 0.19)
Imports: methods, hexbin (≥ 1.28.3), KernSmooth (≥ 2.23), rjags (≥ 4-13), runjags (≥ 2.2.1), Luminescence (≥ 0.9.21), ArchaeoPhases (≥ 1.8)
Suggests: testthat (≥ 3.1.7), R.rsp (≥ 0.45.0)
Published: 2023-04-13
Author: Claire Christophe [aut], Anne Philippe ORCID iD [aut, cre], Sebastian Kreutzer ORCID iD [aut], Guillaume Guérin ORCID iD [aut], Frederik Harly Baumgarten ORCID iD [aut]
Maintainer: Anne Philippe <anne.philippe at>
License: GPL-3
NeedsCompilation: no
SystemRequirements: JAGS >= 4.3.2 (
Citation: BayLum citation info
Materials: README NEWS
CRAN checks: BayLum results


Reference manual: BayLum.pdf
Vignettes: BayLum: An Introduction


Package source: BayLum_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayLum_0.3.1.tgz, r-oldrel (arm64): BayLum_0.3.1.tgz, r-release (x86_64): BayLum_0.3.1.tgz, r-oldrel (x86_64): BayLum_0.3.1.tgz
Old sources: BayLum archive


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