R packages for luminescence and related data analysis(Note: not all here listed packages are programmed by people from the RLum.Network)
An R package for chronological Bayesian models integrated for Optically Stimulated (OSL) Luminescence Dating
The core package for the RLum.Network and the
first package dedicated to luminescence data analysis. This package was already realised in 2012.
Package authors are Sebastian Kreutzer, Christoph Burow, Michael Dietze, Margret C. Fuchs, Christoph Schmidt, Manfred Fischer, Johannes Friedrich, Norbert Mercier, Rachel K. Smedley, Claire Christophe, Antoine Zink, Julie Durcan, Georgina E. King, Anne Philippe, Guillaume Guerin, Svenja Riedesel, Martin Autzen, Pierre Guibert.
Numeric Routines for Optically Stimulated Luminescence Dating. Package for optimizing regular numeric problems in optically stimulated luminescence dating, such as: equivalent dose calculation, dose rate determination, growth curve fitting, decay curve decomposition, statistical age model optimization, and statistical plot visualization.
Package authors are Jun Peng, Bo Li, Jorge More, Burton Garbow, Kenneth Hillstrom, John Burkardt, Paul Gilbert, Ravi Varadhan.
A collection of functions to model dose rates in carbonate-rich samples. The package is a translation of the ‘MATLAB’ program Carb by Roger P. Nathan.
This package does not really analyse luminescence data but supports
the development of the other R packages from the RLum universe. While
this is possible with
'devtools' (which is also used by
comes with a couple of extra functions to allow a smooth and consistent
package build process.
A package dedicated to simulating luminescence using Monte-Carlo methods.
'RLumShiny' provides the graphical user interface to some of the functions
from the package
'Luminescence' but also isolated other functions.