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eiCompare is an R package built to help practitioners and academics quantify racially polarized voting (RPV) with ease and confidence. It builds on top of several existing packages, augmenting their utility for measuring racially polarized voting in elections. Underlying packages include ei, eiPack, and wru.

eiCompare was built with several types of users in mind:


eiCompare 3.0.4

*Fixed a bug in tests/testthat/test_wru_predict_race_wrapper.R that fails if there isnt internet to access wru repo data

eiCompare 3.0.3

eiCompare 3.0.2

Package changes

eiCompare 3.0.1

Minor package changes

3.0 Update:

The Voting Rights Team of the 2020 University of Washington Data Science for Social Good Fellowship program worked throughout the summer to develop the latest iteration of the package. Highlights from the update include:

See here for a full list of new features.



CRAN submission is currently underway. Check back soon for instructions on installation from CRAN.

From Github (development version)

Install latest development version with:



The name eiCompare highlights the utility of this package for comparing different ecological inference estimates. For instance, the following code compares iterative and RxC estimates of racial voting preferences in a stylized version of the 2018 Georgia gubernatorial election:


iter <- ei_iter(
  data = gwinnett_ei,
  cand_cols = c("kemp", "abrams", "metz"),
  race_cols = c("white", "black", "other"),
  totals_col = "turnout",
  name = "Iterative EI",

rxc <- ei_rxc(
  data = gwinnett_ei,
  cand_cols = c("kemp", "abrams", "metz"),
  race_cols = c("white", "black", "other"),
  totals_col = "turnout",
  name = "RxC EI",

plot(iter, rxc)

The top panel shows that the majority of white voters voted for Brian Kemp, who won this election. The middle panel shows the estiamted preferences of black voters. The estimates indicate that black voters strongly preferred Stacey Abrams over Brian Kemp.

Please refer to the package vignettes for detailed walkthroughs of how this package facilitates ecological inference. To view these in Rstudio, enter browseVignettes("eiCompare") in the console after installing the package.

Platform dependencies

The following platform dependencies may be required on Ubuntu/Debian based systems: sudo apt install libfftw3-dev fftw-dev

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