ComputeKlimekModel: Compute Klimek Model function

In kkalininMI/EFToolkit: Election Forensics Toolkit

Description

This function helps to estimate the Klimek et al.(2012) model.

Usage

ComputeKlimekModel(data, Candidates, Level, TotalReg, TotalVotes, R=1000, cores=2)

Arguments

data	data frame
Candidates	variable name referring to vote counts for candidates/parties
Level	variable name depicting the level of analysis ("National", i.e. whole dataset by default)
TotalReg	variable name for the total number of eligible voters
TotalVotes	variable name for the total number of ballots cast
R	number of simulations (1000 simulations by default)
cores	number of cores for parallel computing (2 cores by default)

Value

A list with the following parameters:

• table - data frame with results

• html - html table with results

• tex - tex table with results

• sigMatrix - significance matrix

Examples

library(EFToolkit)

dat<-read.csv(system.file("Albania2013.csv", package="EFToolkit"))

#NB! R=100 to speed up computations for this example.
klimek<-ComputeKlimekModel(dat, Candidates="C050", Level="National",
                        TotalReg="Registered", TotalVotes="Ballots", cores=1, R=100)

kkalininMI/EFToolkit documentation built on Oct. 28, 2020, 1:47 a.m.