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baorista: Bayesian Aoristic Analyses
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.
Getting started
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Package details |
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| Author | Enrico Crema [aut, cre] (<https://orcid.org/0000-0001-6727-5138>) |
| Maintainer | Enrico Crema <enrico.crema@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.2.1 |
| Package repository | View on CRAN |
| Installation |
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