spikes: Detecting Election Fraud from Irregularities in Vote-Share Distributions

Applies re-sampled kernel density method to detect vote fraud. It estimates the proportion of coarse vote-shares in the observed data relative to the null hypothesis of no fraud.

AuthorArturas Rozenas
Date of publication2016-09-22 02:27:04
MaintainerArturas Rozenas <ar199@nyu.edu>
LicenseGPL (>= 2)
Version1.1

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