aggutils: Utilities for Aggregating Probabilistic Forecasts

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>).

Getting started

Package details

AuthorMolly Hickman [aut, cre] (<https://orcid.org/0009-0007-5144-0080>), Zach Jacobs [aut]
MaintainerMolly Hickman <molly@forecastingresearch.org>
LicenseMIT + file LICENSE
Version1.0.2
URL https://github.com/forecastingresearch/aggutils
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("aggutils")

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aggutils documentation built on Aug. 23, 2023, 1:09 a.m.