fpsim: Compute Measures of Foreign Policy Similarity/Agreement

Provides functions for calculating various measures of foreign policy similarity or association commonly used in the study of international relations. These include Signorino and Ritter's S statistic (weighted and unweighted), Benati and Capurri's chance-corrected S statistic (A), Cohen's weighted kappa, Scott's pi, and Kendall's tau-b. The package facilitates the generation of dyadic similarity scores for empirical analyses and can also serve as an educational resource for understanding how such measures are calculated.

Version: 0.2.0
Depends: R (≥ 3.6.0)
Suggests: peacesciencer
Published: 2026-07-04
DOI: 10.32614/CRAN.package.fpsim
Author: Steven Miller ORCID iD [aut, cre]
Maintainer: Steven Miller <steve at svmiller.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: fpsim results

Documentation:

Reference manual: fpsim.html , fpsim.pdf

Downloads:

Package source: fpsim_0.2.0.tar.gz
Windows binaries: r-devel: fpsim_0.1.0.zip, r-release: fpsim_0.1.0.zip, r-oldrel: fpsim_0.1.0.zip
macOS binaries: r-release (arm64): fpsim_0.1.0.tgz, r-oldrel (arm64): fpsim_0.1.0.tgz, r-release (x86_64): fpsim_0.1.0.tgz, r-oldrel (x86_64): fpsim_0.1.0.tgz
Old sources: fpsim archive

Linking:

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