Bayesian Aoristic Analyses R package baorista version 0.2.1 Provides an alternative approach to aoristic analyses for archaeological datasets by fitting Bayesian parametric growth models and non-parametric random-walk Intrinsic Conditional Autoregressive (ICAR) models on time frequency data (Crema (2024)<doi:10.1111/arcm.12984>). It handles event typo-chronology based timespans defined by start/end date as well as more complex user-provided vector of probabilities. Software Depends: R (>= 3.5.0), nimble (>= 0.12.0) Imports: stats,coda,graphics Suggests: knitr, rmarkdown Enrico Crema <enrico.crema@gmail.com> Comprehensive R Archive Network (CRAN) Enrico Crema [aut, cre] (ORCID: <https://orcid.org/0000-0001-6727-5138>) GPL (>= 2) 2024-08-19 application/tgz https://CRAN.R-project.org/package=baorista doi:10.32614/CRAN.package.baorista en-GB