ef_simulateData: Simulate Election data

In DiogoFerrari/eforensics:

Description

This function simulates data sets from the Election Forensics Finite Mixture models.

Usage

ef_simulateData(n = 2000, nCov = 0, nCov.fraud = 0, model,
  pi = NULL, overdispersion = 10)

Arguments

n	integer, the number of sample points representing observations of election units (e.g., precinct, ballot boxes)
nCov	number of covariates affecting both turnout and votes for the winner in each election unit
model	a string with the model ID to use in the estimation. Run ef_models() to see the list and descriptions of the models available.
pi	vector with three numbers between 0 and 1 whose sum must add up to 1. If NULL (default) this vector will be randomly generated
overdispersion	numeric, degree of overdispersion of the distributions

Value

The function returns a list with a data frame with the simulated data and a sublist with the parameters used to generate the data

DiogoFerrari/eforensics documentation built on Aug. 31, 2019, 3:44 p.m.