The R package 'RLumModel'
by Johannes
Friedrich (University of Bayreuth, Germany), Sebastian Kreutzer
(Geography & Earth Sciences, Aberystwyth University, United Kingdom)
and Christoph Schmidt (University of Lausanne, Switzerland) provides a
collection of various R functions modelling luminescence signals in
quartz and Al2O3, based on energy-band models.
For an introduction and further details, visit the RLumModel homepage.
To install the stable version from CRAN, simply run the following from an R console:
install.packages("RLumModel")
To install the latest development builds directly from GitHub, run
if(!require("devtools"))
install.packages("devtools")
devtools::install_github("R-Lum/RLumModel@master")
To install a developer build other than ‘master’, replace the term ‘master’ in the codeline by the name of the wanted developer build.
model <- "Bailey2001"
sequence <- list(
IRR = c(20, 10, 1),
TL = c(20, 500, 5))
model.output <- model_LuminescenceSignals(
model = model,
sequence = sequence,
verbose = FALSE
)
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.
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.
The development of RLumModel benefited from the support by various funding bodies:
The initial work by Johannes Friedrich, Sebastian Kreutzer and Christoph Schmidt was supported by the DFG (2015–2018, SCHM 3051/4-1, “Modelling quartz luminescence signal dynamics relevant for dating and dosimetry”, SCHM 3051/4-1)
The work of Sebastian Kreutzer as package author was supported by LabEx LaScArBx (ANR - n. ANR-10-LABX-52) between 2017 and 2019.
From 2020, Sebastian Kreutzer received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 844457 (project: CREDit).