baorista

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). It handles event typo-chronology based timespans defined by start/end date as well as more complex user-provided vector of probabilities.

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