Package: metaggR
Type: Package
Title: Calculate the Knowledge-Weighted Estimate
Version: 0.3.0
Authors@R: 
    c(person(given = "Ville",
             family = "Satopää",
             email = "ville.satopaa@gmail.com",
             role = c("aut", "cre", "cph")),
      person(given = "Asa",
             family = "Palley",
             role = "aut"))
Description: According to a phenomenon known as "the wisdom of the
        crowds," combining point estimates from multiple judges often
        provides a more accurate aggregate estimate than using a point
        estimate from a single judge. However, if the judges use shared
        information in their estimates, the simple average will
        over-emphasize this common component at the expense of the
        judges’ private information. Asa Palley & Ville Satopää (2021)
        "Boosting the Wisdom of Crowds Within a Single Judgment
        Problem: Selective Averaging Based on Peer Predictions"
        <https://papers.ssrn.com/sol3/Papers.cfm?abstract_id=3504286>
        proposes a procedure for calculating a weighted average of the
        judges’ individual estimates such that resulting aggregate
        estimate appropriately combines the judges' collective
        information within a single estimation problem. The authors use
        both simulation and data from six experimental studies to
        illustrate that the weighting procedure outperforms existing
        averaging-like methods, such as the equally weighted average,
        trimmed average, and median. This aggregate estimate -- know as
        "the knowledge-weighted estimate" -- inputs a) judges'
        estimates of a continuous outcome (E) and b) predictions of
        others' average estimate of this outcome (P). In this
        R-package, the function knowledge_weighted_estimate(E,P)
        implements the knowledge-weighted estimate. Its use is
        illustrated with a simple stylized example and on real-world
        experimental data.
License: GPL-2
Copyright: (c) Ville Satopaa
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: MASS, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2026-07-14 04:56:57 UTC; root
Author: Ville Satopää [aut, cre, cph], Asa Palley [aut]
Maintainer: Ville Satopää <ville.satopaa@gmail.com>
Repository: https://satopaa.r-universe.dev
Date/Publication: 2022-04-25 09:00:02 UTC
RemoteUrl: https://github.com/cran/metaggR
RemoteRef: HEAD
RemoteSha: 6aec9ebb600f1f5278f3fe8800c530b03ec611f3