The Ultimate Guide to the CTNote Package in R

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

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What is the CTNote package?

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

CTNote is a package that provides functions for managing and analyzing clinical trials data. It includes features for importing data, cleaning and transforming data, performing statistical analyses, and generating reports.

Title: CTN Outcomes, Treatments, and Endpoints
Description: The Clinical Trials Network (CTN) of the U.S. National Institute of Drug Abuse sponsored the CTN-0094 research team to harmonize data sets from three nationally-representative clinical trials for opioid use disorder (OUD). The CTN-0094 team herein provides a coded collection of trial outcomes and endpoints used in various OUD clinical trials over the past 50 years. These coded outcome functions are used to contrast and cluster different clinical outcome functions based on daily or weekly patient urine screenings. Note that we abbreviate urine drug screen as "UDS" and urine opioid screen as "UOS". For the example data sets (based on clinical trials data harmonized by the CTN-0094 research team), UDS and UOS are largely interchangeable.
Author: Gabriel Odom [aut, cre] (), Laura Brandt [aut] (), Raymond Balise [aut] (), Layla Bouzoubaa [ctb] ()
Maintainer: Gabriel Odom

How to install the CTNote package?

In this section, we’ll walk you through the process of installing and loading the CTNote 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 CTNote 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 CTNote 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 CTNote 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 CTNote 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 CTNote 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 CTNote package has the following required dependencies: R (>= 3.1.0).
Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The CTNote package has the following suggested dependencies: ape, kableExtra, knitr, readxl, rmarkdown, survival, testthat (>= 3.0.0), tidyverse.
External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The CTNote 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 CTNote package has the following imported packages: stringi, stringr.
Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The CTNote package has no enhancements.

How to get help with the CTNote package?

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

Key resources

The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("CTNote") function to retrieve detailed information, examples, and usage instructions. Alternatively, you can use the ? operator as a shortcut.
Package website: The CTNote package has a dedicated website. You can visit: https://ctn-0094.github.io/CTNote/.
Developer support: You can email Gabriel Odom . For contact information, visit our R community directory.

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