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>).

Version: 1.0.2
Imports: stats, docstring
Suggests: testthat
Published: 2023-08-22
Author: Molly Hickman ORCID iD [aut, cre], Zach Jacobs [aut]
Maintainer: Molly Hickman <molly at forecastingresearch.org>
BugReports: https://github.com/forecastingresearch/aggutils/issues
License: MIT + file LICENSE
URL: https://github.com/forecastingresearch/aggutils
NeedsCompilation: no
CRAN checks: aggutils results

Documentation:

Reference manual: aggutils.pdf

Downloads:

Package source: aggutils_1.0.2.tar.gz
Windows binaries: r-devel: aggutils_1.0.2.zip, r-release: aggutils_1.0.2.zip, r-oldrel: aggutils_1.0.2.zip
macOS binaries: r-release (arm64): aggutils_1.0.2.tgz, r-oldrel (arm64): aggutils_1.0.2.tgz, r-release (x86_64): aggutils_1.0.2.tgz

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