Package: aggutils
Title: Utilities for Aggregating Probabilistic Forecasts
Version: 1.0.2
Authors@R: c(
    person(given = "Molly",
           family = "Hickman",
           role = c("aut", "cre"),
           email = "molly@forecastingresearch.org",
           comment = c(ORCID = "0009-0007-5144-0080")),
    person(given = "Zach",
           family = "Jacobs", 
            email = "zach@forecastingresearch.org", 
            role = c("aut")))
URL: https://github.com/forecastingresearch/aggutils
BugReports: https://github.com/forecastingresearch/aggutils/issues
Description: 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>).
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: stats, docstring
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-08-22 14:54:52 UTC; molly
Author: Molly Hickman [aut, cre] (<https://orcid.org/0009-0007-5144-0080>),
  Zach Jacobs [aut]
Maintainer: Molly Hickman <molly@forecastingresearch.org>
Repository: CRAN
Date/Publication: 2023-08-22 18:30:12 UTC
Built: R 4.6.0; ; 2026-04-29 09:57:25 UTC; unix
