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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: | 0.2.0 |
Depends: | R (≥ 3.5.0), nimble (≥ 0.12.0) |
Imports: | stats, coda, graphics |
Suggests: | knitr, rmarkdown |
Published: | 2024-07-30 |
DOI: | 10.32614/CRAN.package.baorista |
Author: | Enrico Crema |
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 |
Reference manual: | baorista.pdf |
Vignettes: |
Quick Start with the baorista R package (source) |
Package source: | baorista_0.2.0.tar.gz |
Windows binaries: | r-devel: baorista_0.2.0.zip, r-release: baorista_0.2.0.zip, r-oldrel: baorista_0.2.0.zip |
macOS binaries: | r-release (arm64): baorista_0.2.0.tgz, r-oldrel (arm64): baorista_0.2.0.tgz, r-release (x86_64): baorista_0.2.0.tgz, r-oldrel (x86_64): baorista_0.2.0.tgz |
Old sources: | baorista archive |
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These binaries (installable software) and packages are in development.
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