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#' @title Monte-Carlo Methods for Simulating Luminescence Phenomena.
#' \cr
#' \if{html}{
#' \figure{Logo_RLumCarlo.png}{options: width="50" alt="https://github.com/R-Lum/RLumCarlo"}\cr
#' }
#'
#' @description A collection of functions to simulate luminescence production in dosimetric materials
#' using Monte-Carlo methods. Implemented are models for delocalised, localised and tunnelling
#' transitions. Supported stimulation modes are TL, CW-OSL, LM-OSL, LM-IRSL, and ITL (ISO-TL).
#'
#' @details
#'
#' \bold{Funding}
#'
#' The development of RLumCarlo benefited from the support by various funding bodies:
#'
#' * The initial work by Johannes Friedrich, Sebastian Kreutzer and Christoph Schmidt
#' was supported by the Deutsche Forschungsgemeinschaft (DFG, 2015–2018, SCHM 3051/4-1,
#' "Modelling quartz luminescence signal dynamics relevant for dating and dosimetry", SCHM 3051/4-1).
#'
#' * Later work (2018-2019) was secured through the project "ULTIMO: Unifying Luminescence Models of
#' quartz and feldspar DAAD: Deutscher Akademischer Austauschdienst
#' (German Academic Exchange Service). Framework: DAAD PPP USA 2018, ID: 57387041.
#'
#' * The work of Sebastian Kreutzer as maintainer of the package 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.
#'
#' @name RLumCarlo-package
#' @aliases RLumCarlo
#' @keywords package
#' @docType package
#'
#' @author Johannes Friedrich, University of Bayreuth (Germany), \cr
#' Sebastian Kreutzer, Institute of Geography, Heidelberg University (Germany) \cr
#' Vasilis Pagonis, McDaniel College Westminster (MD, USA), \cr
#' Christoph Schmidt, University of Bayreuth (Germany), \cr
#' Ena Rajovic, University of Bayreuth (Germany), \cr
#' Alex Roy Duncan, University of Bayreuth (Germany), \cr
#' Christian Laag, Institut de Physique du Globe de Paris, Université de Paris (France)
#'
#' @references
#' Kreutzer, S., Friedrich, J., Pagonis, V., Laag, C., Rajovic, E., Schmidt, C., 2021.
#' RLumCarlo: Simulating Cold Light using Monte Carlo Methods. The R Journal 13, 351–365.
#' \doi{10.32614/RJ-2021-043}
#'
#' Pagonis, V., Friedrich, J., Discher, M., Müller-Kirschbaum, A., Schlosser, V., Kreutzer, S.,
#' Chen, R., Schmidt, C., 2019. Excited state luminescence signals from a random distribution of
#' defects - A new Monte Carlo simulation approach for feldspar.
#' Journal of Luminescence 207, 266–272. \doi{doi:10.1016/j.jlumin.2018.11.024}
#'
#' @import methods magrittr foreach parallel doParallel
#' @importFrom grDevices adjustcolor rainbow
#' @importFrom graphics plot lines polygon grid par legend mtext
#' @importFrom Rcpp evalCpp
#' @importFrom utils modifyList
#' @useDynLib RLumCarlo, .registration = TRUE
#' @md
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