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.

AuthorArturas Rozenas
Date of publication2016-09-22 02:27:04
MaintainerArturas Rozenas <ar199@nyu.edu>
LicenseGPL (>= 2)
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("spikes")

Popular 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
See all...

All man pages Function index File listing

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

Functions

Files

NAMESPACE
data
data/output.rda
data/data.rda
R
R/plot.out.R
R/summary.out.R
R/spikes-internal.R
R/confInt.R
R/spikes.R
MD5
DESCRIPTION
man
man/summary.out.Rd
man/spikes.Rd
man/confInt.Rd
man/plot.out.Rd
man/output.Rd
man/data.Rd
man/spikes-internal.Rd
spikes documentation built on May 19, 2017, 8:19 p.m.

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