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: 0.2.1
Depends: R (≥ 4.0), utils, coda (≥ 0.19)
Imports: methods, hexbin (≥ 1.28.2), KernSmooth (≥ 2.23), rjags (≥ 4-12), runjags (≥ 2.2.0), Luminescence (≥ 0.9.18), ArchaeoPhases (≥ 1.5)
Suggests: testthat (≥ 3.1.2), R.rsp (≥ 0.44.0)
Published: 2022-02-21
Author: Claire Christophe [aut], Anne Philippe ORCID iD [aut, cre], Sebastian Kreutzer ORCID iD [aut], Guillaume Guerin ORCID iD [aut], Frederik Harly Baumgarten ORCID iD [ctb]
Maintainer: Anne Philippe <anne.philippe at>
License: GPL-3
NeedsCompilation: no
Citation: BayLum citation info
Materials: README NEWS
CRAN checks: BayLum results


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


Package source: BayLum_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayLum_0.2.1.tgz, r-oldrel (arm64): BayLum_0.2.1.tgz, r-release (x86_64): BayLum_0.2.1.tgz, r-oldrel (x86_64): BayLum_0.2.1.tgz
Old sources: BayLum archive


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