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:	0.2.1
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 [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 (source)

Downloads:

Package source:	baorista_0.2.1.tar.gz
Windows binaries:	r-devel: baorista_0.2.1.zip, r-release: baorista_0.2.1.zip, r-oldrel: baorista_0.2.1.zip
macOS binaries:	r-release (arm64): baorista_0.2.1.tgz, r-oldrel (arm64): baorista_0.2.1.tgz, r-release (x86_64): baorista_0.2.1.tgz, r-oldrel (x86_64): baorista_0.2.1.tgz
Old sources:	baorista archive

Linking:

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