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eat  

Efficiency Analysis Trees
View on CRAN: Click here


Download and install eat package within the R console
Install from CRAN:
install.packages("eat")

Install from Github:
library("remotes")
install_github("cran/eat")

Install by package version:
library("remotes")
install_version("eat", "0.1.4")



Attach the package and use:
library("eat")
Maintained by
Miriam Esteve
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-09
Latest Update: 2023-01-10
Description:
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: .
How to cite:
Miriam Esteve (2021). eat: Efficiency Analysis Trees. R package version 0.1.4, https://cran.r-project.org/web/packages/eat. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1.0 (2021-04-09 10:50), 0.1.1 (2022-01-14 10:22), 0.1.2 (2022-01-16 01:02), 0.1.3 (2022-08-15 17:20)
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View eat citation profile
Other R packages that eat depends, imports, suggests or enhances
Complete documentation for eat
Functions, R codes and Examples using the eat R package
Some associated functions: CEAT_BCC_in . CEAT_BCC_out . CEAT_DDF . CEAT_RSL_in . CEAT_RSL_out . CEAT_WAM . EAT . EAT_BCC_in . EAT_BCC_out . EAT_DDF . EAT_RSL_in . EAT_RSL_out . EAT_WAM . EAT_frontier_levels . EAT_leaf_stats . EAT_object . EAT_size . M_Breiman . PISAindex . RBranch . RCV . RFEAT . RFEAT_object . RF_predictor . RandomEAT . SERules . X2Y2.sim . Y1.sim . alpha . bagging . barplot_importance . bestEAT . bestRFEAT . checkEAT . comparePareto . deepEAT . eat-package . efficiencyCEAT . efficiencyDensity . efficiencyEAT . efficiencyJitter . efficiencyRFEAT . estimEAT . frontier . generateLv . imp_var_EAT . imp_var_RFEAT . isFinalNode . layout . mse . mtry_inputSelection . plotEAT . plotRFEAT . posIdNode . preProcess . predict.EAT . predict.RFEAT . predictFDH . predictor . rankingEAT . rankingRFEAT . scores . selectTk . select_mtry . split . split_forest . treesForRCV . 
Some associated R codes: EAT.R . FDH.R . PISAindex.R . PreProcessing.R . alpha.R . bestModels.R . checkEAT.R . eat_pkg.R . efficiencyCEAT.R . efficiencyEAT.R . efficiencyRFEAT.R . efficiency_plots.R . frontier.R . objects.R . plotEAT.R . plotRFEAT.R . predictorEAT.R . predictorRFEAT.R . pruningScoring.R . rankingBarplot.R . rankingEAT.R . rankingRFEAT.R . rfEAT.R . selectTk.R . simulations.R . splitEAT.R . splitRFEAT.R . treesForRCV.R . userPredictions.R .  Full eat package functions and examples
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