R Observatory: Metrics for metaggR version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

metaggR

0.3.0Package record

Calculate the Knowledge-Weighted Estimate

0packages depend

2.8Kdownloads / year

34.4%test coverage

11/13flavors OK

Overview

About

Maintained by Ville SatopääCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("metaggR", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-metaggr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-metaggR

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-metaggR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Ville Satopää <ville.satopaa@gmail.com>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 1.5 min · r-devel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.0

READMEYes · 381 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 0.3.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 9
Examples that run: 100%4 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Knowledge Weighted Estimate HTML

How these are measured

Downloads

2.8K

CRAN downloads in the past year

Rank #20,736 · ~8/day · ~233/mo

Releases R versions

Daily download trend is not available in this view yet.

26730 days

64490 days

2.8K1 year

Compare downloads with other packages →

Also on67 r2u

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing metaggR adds no packages beyond those that come with R.

Depends (1)

R >= 4.1

Imports (2)

MASSstats

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Ville Satopää

Asa Palley

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.3.0Latest
record
2022-04-25 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
0.2.0
record
2021-08-17 · diff ↗ ·
added 3 exports
get_influence_scores, knowledge_gap, knowledge_weights
R
R 4.1.0 released · 2021-05-18
0.1.0
record
2021-01-09
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-01-09
Total releases: 3 / 5 yrs
License: GPL-2 OSI
Copyright: (c) Ville Satopaa
Minimum R: ≥ 4.1
Bundled data: 223 KB / 49 files
Download size: 306 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("metaggR")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for metaggR version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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