The Ultimate Guide to the interimApp Package in R

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Explore valuable documentation and insights to make the most of the interimApp package in R. Get ready to unlock the full potential of the interimApp package!

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What is the interimApp package?

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

The interimApp package is an app designed for scheduling interim analyses in clinical trials. It allows for interactive assessment of the timing of interim analyses, simulating recruitment and treatment/event phases of a clinical trial.

Title: App for Scheduling Interim Analyses in Clinical Trials
Description: Allows an interactive assessment of the timing of interim analyses. The algorithm simulates both the recruitment and treatment/event phase of a clinical trial based on the package 'interim'.
Author: Bastian Becker, Katharina Mueller, Hermann Kulmann
Maintainer: Bastian Becker

How to install the interimApp package?

In this section, we’ll walk you through the process of installing and loading the interimApp package. By following these steps, you can seamlessly add new functions, datasets, and other resources to your R environment for a more robust workflow.

# Install the {Package} package if it's not already installed
if (!require("{Package}")) {
    install.packages("{Package}")
}


# Load the {Package} package
library("{Package}")

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What package information should you know?

In this section, we’ll go over the technical aspects of the interimApp 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 interimApp 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 interimApp 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 interimApp package, visit our database of R package citations.

Technical details

License type: GPL. 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 interimApp 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 interimApp package has the following required dependencies: interim, shiny, shinyBS.
Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The interimApp package has no suggested dependencies.
External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The interimApp 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 interimApp package has no imported packages.
Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The interimApp package has no enhancements.

How to get help with the interimApp package?

In this section, we’ll discuss a variety of available resources for getting help with the interimApp package.

Key resources

The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("interimApp") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
Package website: The interimApp package does not have a dedicated website.
Developer support: You can email Bastian Becker . For contact information, visit our R community directory.

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