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-any)aggutils_2.0.0.zip(r-4.6-any)aggutils_2.0.0.zip(r-4.5-any)
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✨
DESCRIPTION
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:

2.60 score 4 stars 3 scripts 322 downloads 6 exports 27 dependencies

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

TargetResultTimeFilesSyslog
linux-develNOTE134
source / vignettesOK228
linux-releaseNOTE96
macos-releaseNOTE195
macos-oldrelNOTE184
windows-develNOTE60
windows-releaseNOTE67
windows-oldrelNOTE59
wasm-releaseOK139

Exports:geoMeanCalcgeoMeanOfOddsCalchd_trimneymanAggCalcsoften_meantrim

Dependencies:brewcallrclicommonmarkcpp11descdocstringevaluatefsgluehighrknitrlifecycleotelpkgbuildpkgloadprocessxpsR6rdtoolsrlangroxygen2rprojrootwithrxfunxml2yaml