Modelling chronologically ordered radiocarbon dates in R

Maarten Blaauw, Marco Antonio Aquino Lopez, J.A. Christen

Research output: Contribution to journalArticlepeer-review

Abstract

Studies with multiple radiocarbon dates often contain useful information on the relative locations of the dated levels. Such information can be used to obtain robust, integrated site chronologies, with at times more precise ages than those of the individual dates, where outliers can be identified and downweighted, and where the ages of any undated levels can also be estimated. Examples include trees with radiocarbon dates separated by exactly known amounts of yearly tree-rings, or sedimentary sites where ages further down the stratigraphy can be assumed to be older than ages further up. Here we present coffee, an R package for Bayesian models that apply chronological ordering f or f ossils and environmental events. Coffee is open source, runs natively within R with no need for importing or exporting data or code from other programs, and works with plain-text input files that are relatively easy to read and write. Since coffee is open–source and runs within the popular and versatile R environment, it provides a new, transparent and adaptable educational and research platform designed to make chronology building more accessible.
Original languageEnglish
JournalRadiocarbon
Publication statusAccepted - 01 Mar 2024

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