Package: aggutils 2.0.0

Molly Hickman

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>).

Authors:Molly Hickman [aut, cre], Zach Jacobs [aut]

aggutils_2.0.0.tar.gz
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aggutils.pdf |aggutils.html✨
aggutils/json (API)

# Install 'aggutils' in R:
install.packages('aggutils', repos = c('https://forecastingresearch.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/forecastingresearch/aggutils/issues

On CRAN:

Conda-Forge:

2.48 score 3 stars 3 scripts 262 downloads 6 exports 30 dependencies

Last updated 1 years agofrom:ef4d5e488b. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 16 2025
R-4.5-winNOTEFeb 16 2025
R-4.5-macNOTEFeb 16 2025
R-4.5-linuxNOTEFeb 16 2025
R-4.4-winNOTEFeb 16 2025
R-4.4-macNOTEFeb 16 2025
R-4.3-winNOTEFeb 16 2025
R-4.3-macNOTEFeb 16 2025

Exports:geoMeanCalcgeoMeanOfOddsCalchd_trimneymanAggCalcsoften_meantrim

Dependencies:brewcallrclicommonmarkcpp11descdocstringevaluatefsgluehighrknitrlifecyclemagrittrpkgbuildpkgloadprocessxpspurrrR6rlangroxygen2rprojrootstringistringrvctrswithrxfunxml2yaml