Bayesian Aoristic Analyses
Plot Aoristic Sums
Creates a probMat class object from user data
Estimate Exponential Growth rate from Aoristic data
Estimate Exponential Growth rate from Aoristic data
Fits a random walk ICAR model to Aoristic data
Fits a Logistic growth model on Aoristic data
Monte-Carlo simulation on aoristic data
Plot double exponential model fitted to aoristic data
Plot exponential model fitted to aoristic data
Plot 1D ICAR model fitted to aoristic data
Plot logistic model fitted to aoristic data
Plot Monte-Carlo simulation results on aoristic data
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.