Estimates the probability matrix for the RÃC Ecological Inference problem using the Expectation-Maximization Algorithm with four approximation methods for the E-Step, and an exact method as well. It also provides a bootstrap function to estimate the standard deviation of the estimated probabilities. In addition, it has functions that aggregate rows optimally to have more reliable estimates in cases of having few data points. For comparing the probability estimates of two groups, a Wald test routine is implemented. The library has data from the first round of the Chilean Presidential Election 2021 and can also generate synthetic election data. Methods described in Thraves, Charles; Ubilla, Pablo; Hermosilla, Daniel (2024) ”A Fast Ecological Inference Algorithm for the RÃC case” <doi:10.2139/ssrn.4832834>.
Version: 0.0.0.7 Depends: R (≥ 3.5) Imports: Rcpp, jsonlite LinkingTo: Rcpp Suggests: knitr, rmarkdown, ggplot2, reshape2, viridis, dplyr, qpdf Published: 2025-05-20 DOI: 10.32614/CRAN.package.fastei Author: Charles Thraves [aut], Pablo Ubilla [aut], Daniel Hermosilla [aut, cre], Hanson Troy [ctb, cph] Maintainer: Daniel Hermosilla <daniel.hermosilla.r at ug.uchile.cl> BugReports: https://github.com/DanielHermosilla/ecological-inference-elections/issues License: MIT + file LICENSE Copyright: see file COPYRIGHTS URL: https://danielhermosilla.github.io/ecological-inference-elections/reference/fastei-package.html NeedsCompilation: yes Materials: README CRAN checks: fastei results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastei to link to this page.
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