Efficiency Analysis Trees

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: .


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install.packages("eat")

0.1.0 by Miriam Esteve, a month ago


https://efficiencytools.wordpress.com/


Report a bug at https://github.com/MiriamEsteve/EAT/issues


Browse source code at https://github.com/cran/eat


Authors: Miriam Esteve [cre, aut] , Víctor España [aut] , Juan Aparicio [aut] , Xavier Barber [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, conflicted, stats, knitr, ggplot2, ggparty, partykit, ggrepel, Rdpack, lpSolveAPI, utils, reshape2

Suggests rmarkdown, testthat, kableExtra, usethis, devtools


See at CRAN