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  "Title": "Utilities for Aggregating Probabilistic Forecasts",
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  "Description": "Provides several methods for aggregating probabilistic\nforecasts. You have a group of people who have made\nprobabilistic forecasts for the same event. You want to take\nadvantage of the \"wisdom of the crowd\" and combine these\nforecasts in some sensible way. This package provides\nimplementations of several strategies, including geometric mean\nof odds, an extremized aggregate (Neyman, Roughgarden (2021)\n<doi:10.1145/3490486.3538243>), and \"high-density trimmed mean\"\n(Powell et al. (2022) <doi:10.1037/dec0000191>).",
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  "Repository": "https://forecastingresearch.r-universe.dev",
  "Date/Publication": "2024-02-09 19:51:32 UTC",
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