The Ultimate Guide to the rDEA Package in R (2024)

• R Package Guides

Table of contents

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In this section, we’ll delve into the fundamental aspects and key features of the package.

The rDEA package is designed to conduct Data Envelopment Analysis (DEA), a non-parametric method in operations research and economics for estimating production frontiers. It helps to evaluate the relative efficiency of decision-making units in the presence of multiple inputs and outputs.

• Title: Robust Data Envelopment Analysis (DEA) for R
• Description: Data Envelopment Analysis for R, estimating robust DEA scores without and with environmental variables and doing returns-to-scale tests.
• Author: Jaak Simm [aut, cre], Galina Besstremyannaya [aut]
• Maintainer: Jaak Simm

• Functions: Functions play a crucial role in R packages. They allow you to perform specific tasks and computations efficiently. To identify the functions in the rDEA package, you can use the ls("package:rDEA") function.
• Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify any built-in datasets in the rDEA package, you can use the data(package = "rDEA") function.
• Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes, you can use the vignette(package = "rDEA") function.
• Citation information: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find the citation information for the rDEA package in the R console, you can use the citation("rDEA") function.

• License type: GPL-2 | GPL-3. For license details, visit the Open Source Initiative website.
• Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The rDEA package has compilation requirements.
• Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The rDEA package has no required dependencies.
• Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The rDEA package has the following suggested dependencies: testthat.
• External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The rDEA package does not use any external sources.
• Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The rDEA package has the following imported packages: slam (>= 0.1-9), truncreg (>= 0.2-1), truncnorm (>= 1.0-7), maxLik.
• Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The rDEA package has no enhancements.

# Replace "packageName" with the name of the R package you want to explore # Get details and citation for the R package package_details <- packageDescription("packageName") package_citation <- citation("packageName") # Print the package details and citation print(package_details) print(package_citation)

• The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("rDEA") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.

• Package website: The rDEA package has a dedicated website. You can visit: https://github.com/jaak-s/rDEA.

• Developer support: You can email Jaak Simm . For contact information, visit our R community directory.

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