UMeforensics/eforensics_public: Election Forensics: Positive Empirical Models of Election Fraud

Estimate probability of frauds in an election using finite mixture models (Supported by NSF grant SES 1523355).

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Package details
Author	Diogo Ferrari [aut], Kevin McAlister [aut], Walter Mebane [aut, cre], Patrick Wu [aut]
Maintainer	Walter Mebane <wmebane@umich.edu>
License	MIT + file LICENSE
Version	0.0.4
Package repository	View on GitHub
Installation	Install the latest version of this package by entering the following in R: `install.packages("remotes") remotes::install_github("UMeforensics/eforensics_public")`

UMeforensics/eforensics_public documentation built on Oct. 31, 2019, 12:49 a.m.

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