preprocess

This does the preprocessing steps that all the agg methods
have in common.

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>).

Molly Hickman

aggutils

Utilities for Aggregating Probabilistic Forecasts

Zach Jacobs

preprocess function

<dl><dt>x</dt>
<dd>A vector of forecasts</dd>
<dt>q</dt>
<dd>The quantile to use for replacing 0s and 1s (between 0 and 1)</dd></dl>

Arguments

Preprocessing function for agg methods — preprocess

<dl>

<dt>x</dt>
<dd>A vector of forecasts</dd>


<dt>q</dt>
<dd>The quantile to use for replacing 0s and 1s (between 0 and 1)</dd>

</dl>

preprocess: Preprocessing function for agg methods

Description

Usage

Value

Arguments