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Explore valuable documentation and insights to make the most of the discord package in R. Get ready to unlock the full potential of the discord package!
Table of contents
- AI-powered R programming assistant
- What is the discord package?
- How to install the discord package?
- What package information should you know?
- How to get help with the discord package?
- Other package guides
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What is the discord package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
Discord is a package that provides functions for detecting discordant phylogenetic trees. Discordance can occur when different genes or regions of the genome yield different phylogenetic trees, and this package provides tools for identifying and visualizing these differences.
- Title: Functions for Discordant Kinship Modeling
- Description: Functions for discordant kinship modeling (and other sibling-based quasi-experimental designs). Currently, the package contains data restructuring functions and functions for generating biometrically informed data for kin pairs.
- Author: S. Mason Garrison [aut, cre, cph], Jonathan Trattner [aut], Cermet Ream [ctb]
- Maintainer: S. Mason Garrison
How to install the discord package?
In this section, we’ll walk you through the process of installing and loading the discord package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.
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What package information should you know?
In this section, we’ll go over the technical aspects of the discord package.
Key features
- Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify built-in datasets. To identify the datasets for the discord package, visit our database of R datasets.
- Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes for the discord package, you can visit our visit our database of R vignettes.
- Citation: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find citation information for the discord package, visit our database of R package citations.
Technical details
- License type: 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 discord 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 discord package has the following required dependencies: R (>= 2.10).
- Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The discord 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 discord 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 discord package has the following imported packages: stats.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The discord package has no enhancements.
How to get help with the discord package?
In this section, we’ll discuss a variety of available resources for getting help with the discord package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("discord") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
Package website: The discord package has a dedicated website. You can visit: https://github.com/R-Computing-Lab/discord.
- Developer support: You can email S. Mason Garrison . For contact information, visit our R community directory.
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