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.">

baorista: Bayesian Aoristic Analyses (original) (raw)

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.

Version: 0.2.1
Depends: R (≥ 3.5.0), nimble (≥ 0.12.0)
Imports: stats, coda, graphics
Suggests: knitr, rmarkdown
Published: 2024-08-19
DOI: 10.32614/CRAN.package.baorista
Author: Enrico Crema ORCID iD [aut, cre]
Maintainer: Enrico Crema <enrico.crema at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-GB
Citation: baorista citation info
Materials: README, NEWS
CRAN checks: baorista results

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