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BayLum  

Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating
View on CRAN: Click here


Download and install BayLum package within the R console
Install from CRAN:
install.packages("BayLum")

Install from Github:
library("remotes")
install_github("cran/BayLum")

Install by package version:
library("remotes")
install_version("BayLum", "0.3.3")



Attach the package and use:
library("BayLum")
Maintained by
Anne Philippe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-01
Latest Update: 2025-09-03
Description:
Bayesian analysis of luminescence data and C-14 age estimates. Bayesian models are based on the following publications: Combes, B. & Philippe, A. (2017) and Combes et al (2015) . This includes, amongst others, data import, export, application of age models and palaeodose model.
How to cite:
Anne Philippe (2017). BayLum: Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating. R package version 0.3.3, https://cran.r-project.org/web/packages/BayLum. Accessed 27 Aug. 2026.
Previous versions and publish date:
0.1.0 (2017-09-01 19:14), 0.1.1 (2017-09-07 22:42), 0.1.2 (2018-06-23 00:15), 0.1.3 (2018-09-19 11:40), 0.2.0 (2020-12-06 18:10), 0.2.1 (2022-02-21 15:50), 0.3.1 (2023-04-13 19:10), 0.3.2 (2024-06-16 16:40), (2026-07-09 07:58)
Other packages that cited BayLum R package
View BayLum citation profile
Other R packages that BayLum depends, imports, suggests or enhances
Complete documentation for BayLum
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