The Ultimate Guide to the DesignCTPB Package in R
Explore valuable documentation and insights to make the most of the DesignCTPB package in R. Get ready to unlock the full potential of the DesignCTPB package!
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What is the DesignCTPB package?
In this section, we’ll delve into the fundamental aspects and key features of the package.
DesignCTPB stands for Designing Clinical Trials with Patient Burden. This package provides tools for designing clinical trials that take into account the burden on patients. This includes factors like the number and frequency of visits, the types of procedures involved, and the potential side effects of treatment. The package provides functions for modeling patient burden and for optimizing the trial design to minimize this burden.
- Title: Design Clinical Trials with Potential Biomarker Effect
- Description: Applying 'CUDA' 'GPUs' via 'Numba' for optimal clinical design. It allows the user to utilize a 'reticulate' 'Python' environment and run intensive Monte Carlo simulation to get the optimal cutoff for the clinical design with potential biomarker effect, which can guide the realistic clinical trials.
- Author: Yitao Lu [aut, cre] (), Belaid Moa [aut], Julie Zhou [aut], Li Xing [aut] (), Xuekui Zhang [aut] ()
- Maintainer: Yitao Lu
How to install the DesignCTPB package?
In this section, we’ll walk you through the process of installing and loading the DesignCTPB 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 DesignCTPB 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 DesignCTPB 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 DesignCTPB 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 DesignCTPB 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 DesignCTPB 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 DesignCTPB package has the following required dependencies: R (>= 3.5.0).
- Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The DesignCTPB package has the following suggested dependencies: knitr, rmarkdown.
- External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The DesignCTPB 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 DesignCTPB package has the following imported packages: reticulate, mnormt, fields, plotly, dplyr.
- Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The DesignCTPB package has no enhancements.
How to get help with the DesignCTPB package?
In this section, we’ll discuss a variety of available resources for getting help with the DesignCTPB package.
Key resources
- The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("DesignCTPB") 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 DesignCTPB package has a dedicated website. You can visit: https://github.com/ubcxzhang/DesignCTPB, Y Lu (2020) .
- Developer support: You can email Yitao Lu . For contact information, visit our R community directory.
Additional resources
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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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