Comprehensive Luminescence Dating Data Analysis.
Luminescence 
The R package 'Luminescence' by the R-Luminescence Group provides a collection of various R functions for luminescence dating data analysis.
Social media and other resources
Visit our R-Luminescence homepage.
Installation
i. Requirements
- Windows (32/64bit): Rtools (provided by CRAN)
- macOS: Xcode (provided by Apple)
- Linux: gcc often comes pre-installed in most distributions.
ii. Install the package
Install any development versions using our RStudio add-in
The plain R way
To install the stable version from CRAN, simply run the following from an R console:
install.packages("Luminescence")
To install the latest development builds directly from GitHub, run
if(!require("devtools"))
install.packages("devtools")
devtools::install_github("R-Lum/Luminescence@<wanted branch>")
Contribute
The R luminescence project is based on and evolves from ideas, contributions and constructive criticism of its users. Help us to maintain and develop the package, to find bugs and create new functions as well as a user-friendly design. Try https://github.com/R-Lum/Luminescence/issues or write us an e-mail if anything crosses your mind or if you want your new self-written function to be to implemented. You are kindly invited to bring forward the package with us!
Note
The package comes without any guarantee!
Please further note that this version is a development version and may change day by day. For stable branches please visit the package on CRAN Luminescence.
License
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Funding
2011-2013: The initial version of the package was developed in the framework of the PhD thesis by Sebastian Kreutzer, while he was funded through the DFG programme “Rekonstruktion der Umweltbedingungen des Spätpleistozäns in Mittelsachsen anhand von Löss-Paläobodensequenzen” (GEPRIS id: 46526743)
2014-2018: Cooperation and personal exchange between the developers is gratefully funded by the DFG in the framework of the program “Scientific Networks”. Project title: “RLum.Network: Ein Wissenschaftsnetzwerk zur Analyse von Lumineszenzdaten mit R” (GEPRIS id: 250974974)
05/2014-12/2019: The work of Sebastian Kreutzer as maintainer of the package was supported by LabEx LaScArBx (ANR - n. ANR-10-LABX-52).
01/2020-04/2022: Sebastian Kreutzer as maintainer of the package has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 844457 (CREDit), and could continue maintaining the package.
since 03/2023: Sebastian Kreutzer as maintainer of the package receives funding from the DFG Heisenberg programme No 505822867.
All other authors gratefully received additional funding from various public funding bodies.