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The Ultimate Guide to the gmodels Package in R

In this comprehensive reference guide, you'll find all the information you need about the gmodels package in R. We'll make it easy for you to explore and understand the package's documentation. Get ready to unlock the full potential of the gmodels package!

Table of contents

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Basic details of the gmodels package in R

At R Basics, our goal is to make it easy for you to find documentation about the gmodels package. That’s why we’ve compiled all the key information in one place. Dive into the details below to understand how this package can improve your work.
  • Title: Various R Programming Tools for Model Fitting
  • Description: Various R programming tools for model fitting.
  • Author: Gregory R. Warnes, Ben Bolker, Thomas Lumley, and Randall C Johnson. Contributions from Randall C. Johnson are Copyright (2005) SAIC-Frederick, Inc. Funded by the Intramural Research Program, of the NIH, National Cancer Institute, Center for Cancer Research under NCI Contract NO1-CO-12400.
  • Maintainer: Gregory R. Warnes
  • License type: GPL-2
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Technical details of the gmodels package in R

R documentation also provides technical details of a package, including its dependencies, enhancements, and compilation requirements. Learning this information will help you master the gmodels package.
  • Version: In R, a version refers to a specific release of a package and can be used to track changes. To find the version number of the gmodels package in the R console, you can use the packageVersion("gmodels") function.
  • Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The gmodels package does not have compilation requirements.
  • Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The gmodels package has the following required dependencies: R (>= 1.9.0).
  • Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The gmodels package has the following suggested dependencies: gplots, gtools, Matrix, nlme, lme4 (>= 0.999999-0).
  • External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The gmodels 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 gmodels package has the following imported packages: MASS, gdata.
  • Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The gmodels package has no enhancements.
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Capabilities of the gmodels package in R

R documentation provides comprehensive information about a package, including its functions, datasets, and vignettes. Exploring this information will help you make the most of the gmodels package’s functionalities.
  • 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 gmodels package, you can use the ls("package:gmodels") 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 gmodels package, you can use the data(package = "gmodels") 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 = "gmodels") function. This code will display a list of available vignettes you can read.
  • 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 gmodels package in the R console, you can use the citation("gmodels") function.
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Getting help with the gmodels package in R

If you have trouble using the gmodels package in R, there are several ways to get help.
  • The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("gmodels") function to retrieve detailed information, examples, and usage instructions.
  • The ? operator: The ? operator is a shortcut for the help() function. You can simply type ?gmodels to quickly find documentation.
  • Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.

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