The Ultimate Guide to the speff2trial Package in R
Explore valuable documentation and insights to make the most of the speff2trial package in R. Get ready to unlock the full potential of the speff2trial package!
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What is the speff2trial package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
The speff2trial package is designed for conducting two-arm superiority trials in R. It provides functions for sample size calculation and power analysis, and it supports a variety of design and analysis methods, facilitating the planning and conduct of clinical trials.
- Title: Semiparametric Efficient Estimation for a Two-Sample Treatment Effect
- Description: Performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative, dichotomous, or right-censored time-to-event endpoint. The method improves efficiency by leveraging baseline predictors of the endpoint. The inverse probability weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to provide unbiased estimation when the endpoint is missing at random.
- Author: Michal Juraska , with contributions from Peter B. Gilbert , Xiaomin Lu , Min Zhang , Marie Davidian , and Anastasios A. Tsiatis
- Maintainer: Michal Juraska
How to install the speff2trial package?
In this section, we’ll walk you through the process of installing and loading the speff2trial 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 speff2trial 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 speff2trial 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 speff2trial 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 speff2trial package, visit our database of R package citations.
Technical details
- License type: GPL-2. 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 speff2trial 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 speff2trial package has the following required dependencies: stats, leaps, survival.
- Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The speff2trial package has no suggested dependencies.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The speff2trial 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 speff2trial package has no imported packages.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The speff2trial package has no enhancements.
How to get help with the speff2trial package?
In this section, we’ll discuss a variety of available resources for getting help with the speff2trial package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("speff2trial") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
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Package website: The speff2trial package has a dedicated website. You can visit: https://github.com/mjuraska/speff2trial.
- Developer support: You can email Michal Juraska . For contact information, visit our R community directory.
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- 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.
Other package guides
Explore our comprehensive guides for other R packages. These guides are valuable resources for accessing a wide range of information, making it easier to navigate R documentation in one place.
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