The Ultimate Guide to the ClinicalTrialSummary Package in R
Explore valuable documentation and insights to make the most of the ClinicalTrialSummary package in R. Get ready to unlock the full potential of the ClinicalTrialSummary package!
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What is the ClinicalTrialSummary package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
ClinicalTrialSummary is an R package offering tools for summarizing clinical trial data. It provides functions to compute summary statistics, create tables, and generate reports.
- Title: Summary Measures for Clinical Trials with Survival Outcomes
- Description: Provides estimates of several summary measures for clinical trials including the average hazard ratio, the weighted average hazard ratio, the restricted superiority probability ratio, the restricted mean survival difference and the ratio of restricted mean times lost, based on the short-term and long-term hazard ratio model (Yang, 2005 ) which accommodates various non-proportional hazards scenarios. The inference procedures and the asymptotic results for the summary measures are discussed in Yang (2018, ).
- Author: Daewoo Pak and Song Yang
- Maintainer: Daewoo Pak
How to install the ClinicalTrialSummary package?
In this section, we’ll walk you through the process of installing and loading the ClinicalTrialSummary 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 ClinicalTrialSummary 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 ClinicalTrialSummary 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 ClinicalTrialSummary 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 ClinicalTrialSummary 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 ClinicalTrialSummary package has compilation requirements.
- Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The ClinicalTrialSummary 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 ClinicalTrialSummary package has no suggested dependencies.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The ClinicalTrialSummary package uses the following external sources: Rcpp.
- Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The ClinicalTrialSummary package has the following imported packages: Rcpp.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The ClinicalTrialSummary package has no enhancements.
How to get help with the ClinicalTrialSummary package?
In this section, we’ll discuss a variety of available resources for getting help with the ClinicalTrialSummary package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("ClinicalTrialSummary") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
-
Package website: The ClinicalTrialSummary package does not have a dedicated website.
- Developer support: You can email Daewoo Pak . 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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