baorista is an R package that provides a Bayesian inferential tool for analysing time-frequencies of archaeological events associated with time spans typically obtained from relative chronological sequences (e.g. periods and phases) and often analyses using aoristic sums. At its core baorista is a frontend for fitting Bayesian models via the NIMBLE probabilistic programming language. The package is currently in beta development and can be installed using devtools:
library(devtools)
install_github('ercrema/baorista')
Please note that baorista is based on Nimble, which requires a working C++ compiler. For more information please read the dedicated section of the nimble manual.
For a quick introduction to baorista check the package vignette as well as the associated manuscript and its github repo
The development of this package was funded by a Philip Leverhulme Prize (PLP-2019-304) awarded to E.Crema.