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aggutils  

Utilities for Aggregating Probabilistic Forecasts
View on CRAN: Click here


Download and install aggutils package within the R console
Install from CRAN:
install.packages("aggutils")

Install from Github:
library("remotes")
install_github("cran/aggutils")

Install by package version:
library("remotes")
install_version("aggutils", "1.0.2")



Attach the package and use:
library("aggutils")
Maintained by
Molly Hickman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-22
Latest Update: 2023-08-22
Description:
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) ), and "high-density trimmed mean" (Powell et al. (2022) ).
How to cite:
Molly Hickman (2023). aggutils: Utilities for Aggregating Probabilistic Forecasts. R package version 1.0.2, https://cran.r-project.org/web/packages/aggutils. Accessed 21 Nov. 2024.
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Complete documentation for aggutils
Functions, R codes and Examples using the aggutils R package
Some associated functions: geoMeanCalc . geoMeanOfOddsCalc . hd_trim . neymanAggCalc . preprocess . soften_mean . trim . 
Some associated R codes: agg.R .  Full aggutils package functions and examples
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