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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.

Version: 0.1.4
Depends: R (≥ 3.5.0), nimble (≥ 0.12.0)
Imports: stats, coda, graphics
Suggests: knitr, rmarkdown
Published: 2024-06-12
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

Documentation:

Reference manual: baorista.pdf
Vignettes: Quick Start with the baorista R package

Downloads:

Package source: baorista_0.1.4.tar.gz
Windows binaries: r-devel: baorista_0.1.4.zip, r-release: baorista_0.1.4.zip, r-oldrel: baorista_0.1.4.zip
macOS binaries: r-release (arm64): baorista_0.1.4.tgz, r-oldrel (arm64): baorista_0.1.4.tgz, r-release (x86_64): baorista_0.1.4.tgz, r-oldrel (x86_64): baorista_0.1.4.tgz
Old sources: baorista archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=baorista to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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