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.
‘gamma’ processes in situ gamma-ray spectrometry measurements for luminescence dating. The package allows to import, inspect and (automatically) correct the energy scale of the spectrum. It provides methods for estimating the gamma dose rate by the use of a calibration curve. This package only supports Canberra
Package authors are Nicolas Frerebeau, Brice Lebrun, Guilhem Paradol, Magali Rizza, Christelle Lahaye, Université Bordeaux Montaigne, CNRS, LabEx Sciences archéologiques de Bordeaux, Idex Aix-Marseille.
The core package for the RLum.Network and the
first package dedicated to luminescence data analysis. This package was first released 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, Dirk Mittelstrass, Harrison J. Gray, Jean-Michel Galharret.
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 great package by Dirk Mittelstraß to identify and separate Continuous-Wave Optically Stimulated Luminescence (CW-OSL) Signal Components.
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.
A flexible framework for definition and application of time/depth- based rules for sets of parameters for single grains that can be used to create artificial sediment profiles. Such profiles can be used for virtual sample preparation and synthetic, for instance, luminescence measurements.