https://github.com/ercrema/baorista

R package for Bayesian and Frequentist Aoristic inference
https://github.com/ercrema/baorista

Last synced: 3 months ago
JSON representation

R package for Bayesian and Frequentist Aoristic inference

• Host: GitHub
• URL: https://github.com/ercrema/baorista
• Owner: ercrema
• Created: 2023-04-30T16:06:31.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-22T23:03:06.000Z (about 1 year ago)
• Last Synced: 2024-05-23T00:22:05.094Z (about 1 year ago)
• Language: HTML
• Size: 799 KB
• Stars: 7
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/baorista)](http://CRAN.R-project.org/package=baorista)

[![development version](https://img.shields.io/badge/devel%20version-0.2.1-lightblue.svg)](https://github.com/ercrema/baorista)

[![R-hub](https://github.com/ercrema/baorista/actions/workflows/rhub.yaml/badge.svg)](https://github.com/ercrema/baorista/actions/workflows/rhub.yaml)

[![](https://cranlogs.r-pkg.org/badges/grand-total/baorista)](https://cran.r-project.org/package=baorista)

# 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](https://r-nimble.org/). 

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](https://r-nimble.org/html_manual/cha-installing-nimble.html#sec:compiler).

For a quick introduction to _baorista_ check the package [vignette](https://htmlpreview.github.io/?https://github.com/ercrema/baorista/blob/main/vignettes/using_baorista.html) as well as the associated [paper](https://doi.org/10.1111/arcm.12984) and its [github repo](https://github.com/ercrema/beyond_aoristic)

## Funding

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