Package: aggutils 2.0.0
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:
aggutils_2.0.0.tar.gz
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aggutils_2.0.0.tgz(r-4.4-any)aggutils_2.0.0.tgz(r-4.3-any)
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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
Last updated 10 months agofrom:ef4d5e488b. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | NOTE | Oct 31 2024 |
R-4.5-linux | NOTE | Oct 31 2024 |
R-4.4-win | NOTE | Oct 31 2024 |
R-4.4-mac | NOTE | Oct 31 2024 |
R-4.3-win | NOTE | Oct 31 2024 |
R-4.3-mac | NOTE | Oct 31 2024 |
Exports:geoMeanCalcgeoMeanOfOddsCalchd_trimneymanAggCalcsoften_meantrim
Dependencies:brewcallrclicommonmarkcpp11descdocstringevaluatefsgluehighrknitrlifecyclemagrittrpkgbuildpkgloadprocessxpspurrrR6rlangroxygen2rprojrootstringistringrvctrswithrxfunxml2yaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Geometric Mean | geoMeanCalc |
Geometric Mean of Odds | geoMeanOfOddsCalc |
Highest-Density Trimmed Mean | hd_trim |
Neyman Aggregation (Extremized) | neymanAggCalc |
Preprocessing function for agg methods | preprocess |
Soften the mean. | soften_mean |
Trimmed mean | trim |