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
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
Last updated from:ef4d5e488b. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 113 | ||
| source / vignettes | OK | 162 | ||
| linux-release-x86_64 | NOTE | 94 | ||
| macos-release-arm64 | NOTE | 133 | ||
| macos-oldrel-arm64 | NOTE | 140 | ||
| windows-devel | NOTE | 67 | ||
| windows-release | NOTE | 72 | ||
| windows-oldrel | NOTE | 59 | ||
| wasm-release | OK | 108 |
Exports:geoMeanCalcgeoMeanOfOddsCalchd_trimneymanAggCalcsoften_meantrim
Dependencies:brewcallrclicommonmarkcpp11descdocstringevaluatefsgluehighrknitrlifecyclepkgbuildpkgloadprocessxpsR6rlangroxygen2rprojrootwithrxfunxml2yaml
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 |
