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: | 0.1.3 |
| Depends: | R (≥ 3.5.0), nimble (≥ 0.12.0) |
| Imports: | stats, coda, graphics |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-05-23 |
| 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 |
Downloads:
| Package source: | baorista_0.1.3.tar.gz |
| Windows binaries: | r-devel: baorista_0.1.3.zip, r-release: baorista_0.1.3.zip, r-oldrel: baorista_0.1.3.zip |
| macOS binaries: | r-release (arm64): baorista_0.1.3.tgz, r-oldrel (arm64): baorista_0.1.3.tgz, r-release (x86_64): baorista_0.1.3.tgz, r-oldrel (x86_64): baorista_0.1.3.tgz |
| Old sources: | baorista archive |
Linking:
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