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Calculates vote-specific and traditional Shapley-Owen power indices (vs-SOVs and SOVs) for spatial voting games in one to four dimensions. Evaluates voter influence through an a posteriori analysis of relative preferences. Supports weighted voting and various voting thresholds. Compatible with ideal point estimates from NOMINATE, Optimal Classification, and 'MCMCpack'. The method builds on Bibina and Dougherty (2025) <doi:10.2139/ssrn.6324519>.
| Version: | 1.0.3 |
| Imports: | dplyr, openxlsx, tibble, tidyr |
| Suggests: | testthat (≥ 3.0.0), withr |
| Published: | 2026-04-04 |
| DOI: | 10.32614/CRAN.package.sov |
| Author: | Keith Dougherty [aut], Emma Bibina [aut, cre] |
| Maintainer: | Emma Bibina <emma.bibina at uga.edu> |
| BugReports: | https://github.com/spatial-voting-lab/sov/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/spatial-voting-lab/sov |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | sov results |
| Reference manual: | sov.html , sov.pdf |
| Package source: | sov_1.0.3.tar.gz |
| Windows binaries: | r-devel: sov_1.0.3.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): sov_1.0.3.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.