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

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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.

Author
Arturas Rozenas
Date of publication
2016-09-22 02:27:04
Maintainer
Arturas Rozenas <ar199@nyu.edu>
License
GPL (>= 2)
Version
1.1

View on CRAN

Man pages

confInt
Credible interval
data
Example data
output
Ouput object
plot.out
Plots output of 'spikes'
spikes
Fraud-detection from vote-share data
spikes-internal
Internal functions
summary.out
Summarize

Files in this package

spikes
spikes/NAMESPACE
spikes/data
spikes/data/output.rda
spikes/data/data.rda
spikes/R
spikes/R/plot.out.R
spikes/R/summary.out.R
spikes/R/spikes-internal.R
spikes/R/confInt.R
spikes/R/spikes.R
spikes/MD5
spikes/DESCRIPTION
spikes/man
spikes/man/summary.out.Rd
spikes/man/spikes.Rd
spikes/man/confInt.Rd
spikes/man/plot.out.Rd
spikes/man/output.Rd
spikes/man/data.Rd
spikes/man/spikes-internal.Rd