Package: aggutils
Title: Utilities for Aggregating Probabilistic Forecasts
Version: 2.0.0
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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Imports: stats, docstring
Suggests: testthat
Config/pak/sysreqs: cmake make libuv1-dev libxml2-dev
Repository: https://forecastingresearch.r-universe.dev
Date/Publication: 2024-02-09 19:51:32 UTC
RemoteUrl: https://github.com/forecastingresearch/aggutils
RemoteRef: HEAD
RemoteSha: ef4d5e488bc07993b8b107b345212b7b58047d0b
NeedsCompilation: no
Packaged: 2026-10-14 08:08:26 UTC; root
Author: Molly Hickman [aut, cre] (ORCID:
    <https://orcid.org/0009-0007-5144-0080>),
  Zach Jacobs [aut]
Maintainer: Molly Hickman <molly@forecastingresearch.org>