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.

Last 30 days

This package has been downloaded 229 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,338 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jun 16, 2024 with 57 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.