Gathering detailed insights and metrics for @paretoman/votekit-sample-election
Gathering detailed insights and metrics for @paretoman/votekit-sample-election
Gathering detailed insights and metrics for @paretoman/votekit-sample-election
Gathering detailed insights and metrics for @paretoman/votekit-sample-election
An explorable sandbox that shows how different voting methods work. Single elections are presented visually using a spatial opinion model. Ensembles of elections are also presented with distributions of winning positions. (The rest of this description will become more accurate with time.) Some consideration of strategy is performed. Voting methods include single-winner systems like plurality, approval, condorcet methods, instant runoff, score, star, etc. Electoral methods also include proportional multi-member district methods like the Single Transferable Vote, Monroe, Thiele's Proportional Approval Voting, Phragmen's method, etc. Electoral methods also include party-list proportional methods like d'Hondt, Huntington-Hill, Webster, etc. Additional electoral methods include MMP and OLPR.
Typescript
Module System
Node Version
NPM Version
JavaScript (90.26%)
HTML (7.03%)
Jupyter Notebook (1.89%)
CSS (0.64%)
Ruby (0.17%)
Total Downloads
0
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0
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MIT-0 License
2 Stars
1,181 Commits
1 Watchers
2 Branches
1 Contributors
Updated on Oct 20, 2024
Latest Version
0.0.7
Package Id
@paretoman/votekit-sample-election@0.0.7
Unpacked Size
9.74 kB
Size
3.07 kB
File Count
8
NPM Version
10.5.0
Node Version
20.12.0
Published on
Oct 20, 2024