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COINr

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What COINr is

COINr is a free, high-level R package for developing and analysing composite indicators and scoreboards. It supports the process from selecting indicators and denominations through missing-data imputation, outlier treatment, normalisation, weighting, and aggregation. Its hierarchy model allows flexible aggregation levels and indicator counts. Weighting methods include manual, PCA, and correlation-optimised choices. Analysis tools cover indicator statistics, multivariate analysis, PCA, correlation analysis, what-if comparisons, and global uncertainty and sensitivity analysis. Results can be shown with statistical plots, bar charts, stacked bar charts, tables, and correlation plots. COINr imports from the COIN Tool and exports to Excel. The package is available through CRAN or GitHub, with R 4.0.0 or later listed as a CRAN dependency. It runs as desktop software on macOS and Windows and uses an MIT licence plus a LICENSE file. William Becker is the named author and maintainer.

Who it suits

COINr suits analysts building composite indicators or scoreboards in R. It is useful for users who need flexible weighting, aggregation, uncertainty analysis, and visual reporting.

What it does well

  • Free R package for composite indicators
  • Flexible aggregation levels and indicator counts
  • Manual, PCA, and correlation-optimised weighting
  • Global uncertainty and sensitivity analysis
  • Excel export and COIN Tool import

What to know first

  • Requires R version 4.0.0 or later
  • No statistical tests listed
  • No regression models listed
  • Requires reading and learning

Verdict

COINr provides a broad workflow for constructing, analysing, and presenting composite indicators. Its R-based setup and stated learning curve may require preparation before use.

Facts from COINr's own pages

Analysis
It provides indicator statistics, multivariate analysis including PCA, correlation analysis and what-if analysis. · bluefoxr.github.io, 12 Oct 2026
Availability
The package is available on CRAN and can also be installed in development form from GitHub. · bluefoxr.github.io, 12 Oct 2026
Construction
It supports indicator selection, denomination, missing-data imputation, data treatment, normalisation, weighting and aggregation. · bluefoxr.github.io, 11 Oct 2026
Deployment
desktop · bluefoxr.github.io, 23 Sept 2026
Development history
The package was initially developed under contract for the European Commission’s Joint Research Centre until 2021. · bluefoxr.github.io, 12 Oct 2026
Documentation
Documentation is available online and through R package vignettes and function help. · bluefoxr.github.io, 12 Oct 2026
Flexible hierarchies
The maker describes composite-indicator development as having no limits on aggregation levels or number of indicators. · bluefoxr.github.io, 11 Oct 2026
Free plan
Yes · bluefoxr.github.io, 23 Sept 2026
Indicator construction
It supports flexible aggregation levels, missing-data imputation, outlier treatment, normalisation, weighting and aggregation methods. · bluefoxr.github.io, 12 Oct 2026
Integrations
It supports fast import from the COIN Tool and export to Excel. · bluefoxr.github.io, 12 Oct 2026
Learning curve
The site says COINr requires some reading and learning to understand properly. · bluefoxr.github.io, 12 Oct 2026
License
The site identifies the package license as MIT. · bluefoxr.github.io, 12 Oct 2026
Maintainer
The site names William Becker as author, maintainer and copyright holder. · bluefoxr.github.io, 12 Oct 2026
Maker and development
The official site names William Becker as author, maintainer and copyright holder, and says initial development was under contract for the European Commission Joint Research Centre until 2021. · bluefoxr.github.io, 11 Oct 2026
Notable version change
The v1.0 update changed most function names; the older syntax remains available in a separate package called COINr6. · bluefoxr.github.io, 11 Oct 2026
Platforms
CRAN lists Windows and macOS package binaries as well as a source package. · stat.ethz.ch, 11 Oct 2026
Purpose
COINr is a high-level R package for developing and analysing composite indicators and scoreboards. · bluefoxr.github.io, 12 Oct 2026
Regression models
No · bluefoxr.github.io, 23 Sept 2026
Requirements
The CRAN package metadata lists R version 4.0.0 or later as a dependency. · stat.ethz.ch, 11 Oct 2026
Scripting support
Yes · bluefoxr.github.io, 23 Sept 2026
Sensitivity analysis
It supports global uncertainty and sensitivity analysis across weighting and methodological choices. · bluefoxr.github.io, 12 Oct 2026
Statistical tests
No · bluefoxr.github.io, 23 Sept 2026
Support
The maker directs users to the documentation and invites bug reports or suggestions through GitHub issues or email. · bluefoxr.github.io, 12 Oct 2026
Visualisation
It provides statistical plots, bar charts, stacked bar charts, tables and correlation plots. · bluefoxr.github.io, 12 Oct 2026

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