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.

Version: 1.1
Depends: R (≥ 3.2.2), emdbook
Published: 2016-09-22
Author: Arturas Rozenas
Maintainer: Arturas Rozenas <ar199 at nyu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: spikes results


Reference manual: spikes.pdf
Package source: spikes_1.1.tar.gz
Windows binaries: r-devel: spikes_1.1.zip, r-release: spikes_1.1.zip, r-oldrel: spikes_1.1.zip
OS X El Capitan binaries: r-release: spikes_1.1.tgz
OS X Mavericks binaries: r-oldrel: spikes_1.1.tgz
Old sources: spikes archive


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