Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: <doi:10.1016/j.eswa.2020.113783>.
Version: 0.1.4 Depends: R (≥ 2.10) Imports: dplyr, conflicted, stats, ggplot2, ggparty, partykit, ggrepel, Rdpack, lpSolveAPI, utils, reshape2 Suggests: rmarkdown, testthat, knitr, kableExtra, devtools Published: 2023-01-10 DOI: 10.32614/CRAN.package.eat Author: Miriam Esteve [cre, aut], VÃctor España [aut], Juan Aparicio [aut], Xavier Barber [aut] Maintainer: Miriam Esteve <mestevecampello at gmail.com> BugReports: https://github.com/MiriamEsteve/EAT/issues License: GPL-3 URL: https://efficiencytools.wordpress.com/ NeedsCompilation: no Materials: README, NEWS CRAN checks: eat results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=eat to link to this page.
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