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 <[email protected]>
LicenseGPL (>= 2)
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("spikes")

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spikes documentation built on May 29, 2017, 9:29 p.m.