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

Documentation:

Reference manual:

spikes.pdf

Downloads:

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
macOS binaries:	r-release (arm64): spikes_1.1.tgz, r-oldrel (arm64): spikes_1.1.tgz, r-release (x86_64): spikes_1.1.tgz, r-oldrel (x86_64): spikes_1.1.tgz
Old sources:	spikes archive

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