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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | baorista_0.2.1.tar.gz |
187.2 KiB |
0.2.1 |
rolling linux/noble R-4.5 | baorista_0.2.1.tar.gz |
187.0 KiB |
0.2.1 |
rolling source/ R- | baorista_0.2.1.tar.gz |
71.0 KiB |
0.2.1 |
latest linux/jammy R-4.5 | baorista_0.2.1.tar.gz |
187.2 KiB |
0.2.1 |
latest linux/noble R-4.5 | baorista_0.2.1.tar.gz |
187.0 KiB |
0.2.1 |
latest source/ R- | baorista_0.2.1.tar.gz |
71.0 KiB |
0.2.1 |
2026-04-26 source/ R- | baorista_0.2.1.tar.gz |
71.0 KiB |
0.2.1 |
2026-04-23 source/ R- | baorista_0.2.1.tar.gz |
71.0 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | baorista_0.2.1.zip |
188.0 KiB |
0.2.1 |
2025-04-20 source/ R- | baorista_0.2.1.tar.gz |
71.0 KiB |