Nothing
Provides several methods for aggregating probabilistic forecasts. You have a group of people who have made probabilistic forecasts for the same event. You want to take advantage of the "wisdom of the crowd" and combine these forecasts in some sensible way. This package provides implementations of several strategies, including geometric mean of odds, an extremized aggregate (Neyman, Roughgarden (2021) <doi:10.1145/3490486.3538243>), and "high-density trimmed mean" (Powell et al. (2022) <doi:10.1037/dec0000191>).
Package details |
|
---|---|
Author | Molly Hickman [aut, cre] (<https://orcid.org/0009-0007-5144-0080>), Zach Jacobs [aut] |
Maintainer | Molly Hickman <molly@forecastingresearch.org> |
License | MIT + file LICENSE |
Version | 1.0.2 |
URL | https://github.com/forecastingresearch/aggutils |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.