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baorista

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.

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 paper and its github repo

Funding

The development of this package was funded by a Philip Leverhulme Prize (PLP-2019-304) awarded to E.Crema.

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Version

Install

install.packages('baorista')

Monthly Downloads

201

Version

0.2.1

License

GPL (>= 2)

Maintainer

Enrico Crema

Last Published

August 19th, 2024

Functions in baorista (0.2.1)

dexpfit

Estimate Exponential Growth rate from Aoristic data
createProbMat

Creates a probMat class object from user data
sampledf

Sample aoristic data (data.frame)
samplemat

Sample aoristic data (matrix)
expfit

Estimate Exponential Growth rate from Aoristic data
plot.fittedLogistic

Plot logistic model fitted to aoristic data
icarfit

Fits a random walk ICAR model to Aoristic data
plot.fittedDExp

Plot double exponential model fitted to aoristic data
plot.fittedExp

Plot exponential model fitted to aoristic data
plot.fittedICAR

Plot 1D ICAR model fitted to aoristic data
plot.probMat

Plot Aoristic Sums
plot.mcsimres

Plot Monte-Carlo simulation results on aoristic data
logisticfit

Fits a Logistic growth model on Aoristic data
mcsim

Monte-Carlo simulation on aoristic data