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
aggutils_2.0.0.zip(r-4.7)aggutils_2.0.0.zip(r-4.6)aggutils_2.0.0.zip(r-4.5)
aggutils_2.0.0.tgz(r-4.6-any)aggutils_2.0.0.tgz(r-4.5-any)
aggutils_2.0.0.tar.gz(r-4.7-any)aggutils_2.0.0.tar.gz(r-4.6-any)
aggutils_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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:

2.48 score 3 stars 3 scripts 232 downloads 6 exports 25 dependencies

Last updated from:ef4d5e488b. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE113
source / vignettesOK162
linux-release-x86_64NOTE94
macos-release-arm64NOTE133
macos-oldrel-arm64NOTE140
windows-develNOTE67
windows-releaseNOTE72
windows-oldrelNOTE59
wasm-releaseOK108

Exports:geoMeanCalcgeoMeanOfOddsCalchd_trimneymanAggCalcsoften_meantrim

Dependencies:brewcallrclicommonmarkcpp11descdocstringevaluatefsgluehighrknitrlifecyclepkgbuildpkgloadprocessxpsR6rlangroxygen2rprojrootwithrxfunxml2yaml