concstats

Spec sheet

Purpose

concstats is an R package that provides market structure, concentration, and inequality measures for researchers and practitioners concerned with competition.Read 12 Oct 2026 · docs.ropensci.org

Platforms

CRAN lists Windows and macOS binaries and a source package; the package depends on R version 2.10 or later.Read 12 Oct 2026 · cran.r-project.org

Deployment

desktopRead 23 Sep 2026 · docs.ropensci.org

Free plan

YesRead 23 Sep 2026 · docs.ropensci.org

Integrations

The package page lists suggested R packages including rmarkdown, knitr, dplyr, devtools, kableExtra, and ggplot2.Read 12 Oct 2026 · cran.r-project.org

Support

The project invites users to open an issue or pull request for questions or bugs.Read 12 Oct 2026 · docs.ropensci.org

License

The package is released under GPL (≥ 3).Read 12 Oct 2026 · docs.ropensci.org

Batch measures

Its main function calculates a pre-selected set of measures in one step.Read 12 Oct 2026 · docs.ropensci.org

Compatibility

The CRAN package listing says it depends on R (≥ 2.10) and needs no compilation.Read 12 Oct 2026 · cran.r-project.org

Compilation

CRAN lists the package as not requiring compilation.Read 12 Oct 2026 · cran.r-project.org

Concentration measures

Its concentration functions include the Herfindahl-Hirschman Index, its dual, the Dominance Index, and the Stenbacka Index.Read 12 Oct 2026 · docs.ropensci.org

Data import formats

R numeric vectors and data framesRead 23 Sep 2026 · docs.ropensci.org

Distribution

The package is available from CRAN, GitHub, and rOpenSci R-universe.Read 12 Oct 2026 · docs.ropensci.org

Inequality and diversity

Inequality and diversity measures include Entropy, the Gini coefficient, and the Palma ratio; most functions offer a finite sample correction.Read 12 Oct 2026 · docs.ropensci.org

Inequality measures

Its inequality and diversity measures include Entropy, the Gini coefficient, and the Palma ratio, and most functions offer a finite sample correction.Read 12 Oct 2026 · docs.ropensci.org

Input and output

Functions accept numeric vectors, including market shares in decimal format or integers that are converted to decimal form, and selected measures can be returned together in a table.Read 12 Oct 2026 · docs.ropensci.org

Input data

Functions generally accept numeric vectors, ideally relative market shares in decimal format, and can convert integer inputs to decimal form.Read 12 Oct 2026 · docs.ropensci.org

Install options

The package is installable from CRAN, GitHub, or rOpenSci R-universe.Read 12 Oct 2026 · docs.ropensci.org

Maintainer

Andreas Schneider is listed as the author and maintainer.Read 12 Oct 2026 · docs.ropensci.org

Market structure

Its market structure measures include firm counts, equivalent numbers, and cumulative Top 3 and Top 5 market shares.Read 12 Oct 2026 · docs.ropensci.org

Output

The combined function returns eight selected measures, including firm counts, top market shares, HHI, normalized Shannon Entropy, and Palma ratio.Read 12 Oct 2026 · docs.ropensci.org

Review

The rOpenSci package listing links to Software Review #559.Read 12 Oct 2026 · ropensci.r-universe.dev

Scripting support

YesRead 23 Sep 2026 · docs.ropensci.org

Plans and prices

Every concstats plan and price →

Where Specifiction places it

• Statistical Analysis Software#37 of 1068.1