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eat
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]
[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
Previous versions and publish date:
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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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