R/BayLum-package.R

In R-Lum/BayLum: Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating

#' @title
#'  Chronological Bayesian Models Integrating Optically Stimulated Luminescence
#'  and C-14 Dating
#' @description
#'  A collection of various R functions for Bayesian analysis of luminescence
#'  data and C-14 age estimates. This includes, amongst others, data import,
#'  export, application of age and palaeodose models.
#' @details
#'  This package is based on the functions: [Generate_DataFile()] and
#'  [Generate_DataFile_MG()] to import luminescence data. These functions create
#'  a list containing all informations to compute age of single-grain OSL
#'  measurements for the first function and multi-grain OSL measurements for
#'  the second.
#'
#'  The functions: [Age_Computation()] and [AgeS_Computation()] use Bayesian
#'  analysis for OSL age estimation for one or various samples according to
#'  difference models (e.g. different dose-response curves and different
#'  equivalent dose distributions around the palaeodose).
#'
#'  It is possible to consider various BIN/BINX-files per sample, to compute
#'  ages of samples in stratigraphic constraints and to integrate systematic
#'  errors.
#'
#'  It is possible to calibrate C-14 age with the function
#'  [AgeC14_Computation()]. We can also estimate chronology containing 14C age
#'  and OSL samples with the function [Age_OSLC14()].
#' @references
#'  Philippe, A., Guérin, G., Kreutzer, S., 2019. BayLum - An R package for
#'  Bayesian analysis of OSL ages: An introduction. *Quaternary Geochronology*
#'  49, 16-24. \doi{10.1016/j.quageo.2018.05.009}
#' @note
#'  This work received a state financial support managed by the Agence Nationale
#'  de la Recherche (France) through the program *Investissements d'avenir*
#'  (ref. ANR-10-LABX-52).
#' @name BayLum-package
#' @aliases BayLum-package BayLum
#' @docType package
#' @keywords internal
"_PACKAGE"

#' @import utils stats methods graphics grDevices coda
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