Interface to 'OxCal' Radiocarbon Calibration

A set of tools that enables using 'OxCal' from within R. 'OxCal' (< https://c14.arch.ox.ac.uk/oxcal.html>) is a standard archaeological tool intended to provide 14C calibration and analysis of archaeological and environmental chronological information. 'OxcAAR' allows simple calibration with 'Oxcal' and plotting of the results as well as the execution of sophisticated ('OxCal') code and the import of the results of bulk analysis and complex Bayesian sequential calibration.


R buildstatus CoverageStatus CRAN_Status_Badge license

oxcAAR

oxcAAR (previously named roxcal) is a collection of functions that can be used to execute OxCal from within R.

Please note that there is a roxcal package package on GitHub, created by Gavin Simpson. If you just need to import OxCal result files, you may consider using his package.

License

oxcAAR is released under the GNU General Public License, version 2. Comments and feedback are welcome, as are code contributions.

Installation

To install the stable version from CRAN:

install.packages('oxcAAR')

To install the latest development version:

if(!require('devtools')) install.packages('devtools')
library(devtools)
install_github('ISAAKiel/oxcAAR')

Get started

To get started, just run:

quickSetupOxcal()

This will download and unzip OxCal into tempdir(). You can change the destination path of OxCal by setting the path parameter. Please make sure that you have a working internet connection when attempting to use this function!

Afterwards you can start calibrating your dates. Check the Vignette to learn how to do this.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("oxcAAR")

1.1.2 by Hinz Martin, 10 months ago


Browse source code at https://github.com/cran/oxcAAR


Authors: Hinz Martin [aut, cre] , Clemens Schmid [aut] , Daniel Knitter [aut] , Carolin Tietze [aut]


Documentation:   PDF Manual  


GPL-2 | file LICENSE license


Imports stringi, stringr, jsonlite

Suggests knitr, testthat, rmarkdown, ggplot2, ggridges, methods


Suggested by nimbleCarbon, palimpsestr, stratigraphr.


See at CRAN