spikes: Detecting Election Fraud from Irregularities in Vote-Share Distributions
Version 1.1

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.

Getting started

Package details

AuthorArturas Rozenas
Date of publication2016-09-22 02:27:04
MaintainerArturas Rozenas <ar199@nyu.edu>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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spikes documentation built on May 29, 2017, 9:29 p.m.