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 |
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 |
Reference manual: | eat.pdf |
Vignettes: |
eat: Efficiency Analysis Trees |
Package source: | eat_0.1.4.tar.gz |
Windows binaries: | r-devel: eat_0.1.4.zip, r-release: eat_0.1.4.zip, r-oldrel: eat_0.1.4.zip |
macOS binaries: | r-devel (arm64): eat_0.1.4.tgz, r-release (arm64): eat_0.1.4.tgz, r-oldrel (arm64): eat_0.1.4.tgz, r-devel (x86_64): eat_0.1.4.tgz, r-release (x86_64): eat_0.1.4.tgz, r-oldrel (x86_64): eat_0.1.4.tgz |
Old sources: | eat archive |
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