Package: braggR Type: Package Title: Calculate the Revealed Aggregator of Probability Predictions Version: 0.1.1 Authors@R: c(person(given = "Ville", family = "Satopää", email = "ville.satopaa@gmail.com", role = c("aut", "cre", "cph"))) Description: Forecasters predicting the chances of a future event may disagree due to differing evidence or noise. To harness the collective evidence of the crowd, Ville Satopää (2021) "Regularized Aggregation of One-off Probability Predictions" proposes a Bayesian aggregator that is regularized by analyzing the forecasters' disagreement and ascribing over-dispersion to noise. This aggregator requires no user intervention and can be computed efficiently even for a large numbers of predictions. The author evaluates the aggregator on subjective probability predictions collected during a four-year forecasting tournament sponsored by the US intelligence community. The aggregator improves the accuracy of simple averaging by around 20% and other state-of-the-art aggregators by 10-25%. The advantage stems almost exclusively from improved calibration. This aggregator -- know as "the revealed aggregator" -- inputs a) forecasters' probability predictions (p) of a future binary event and b) the forecasters' common prior (p0) of the future event. In this R-package, the function sample_aggregator(p,p0,...) allows the user to calculate the revealed aggregator. Its use is illustrated with a simple example. License: GPL-2 Copyright: (c) Ville Satopaa Encoding: UTF-8 RoxygenNote: 7.1.1 LinkingTo: Rcpp Imports: Rcpp Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 NeedsCompilation: yes Packaged: 2026-07-06 09:53:34 UTC; root Author: Ville Satopää [aut, cre, cph] Maintainer: Ville Satopää Repository: https://satopaa.r-universe.dev Date/Publication: 2021-05-29 12:10:02 UTC RemoteUrl: https://github.com/cran/braggR RemoteRef: HEAD RemoteSha: a3de813c9e20ef2b9a6de730427570d5e72c8f74