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README

The tern R package contains analysis functions to create tables and graphs used for clinical trial reporting.

The package provides a large range of functionality, such as:

Data visualizations:

• Line plots (g_lineplot)
• Kaplan-Meier plots (g_km)
• Forest plots (g_forest)
• STEP graphs (g_step)
• Individual patient plots (g_ipp)
• Waterfall plots (g_waterfall)
• Bland-Altman plots (g_bland_altman)

Statistical model fit summaries:

• Logistic regression (summarize_logistic)
• Cox regression (summarize_coxreg)

Analysis tables:

• See a list of all available analyze functions here
• See a list of all available summarize functions here
• See a list of all available column-wise analysis functions here

Many of these outputs are available to be added into teal shiny applications for interactive exploration of data. These teal modules are available in the teal.modules.clinical package.

See the TLG Catalog for an extensive catalog of example clinical trial tables, listings, and graphs created using tern functionality.

tern is available on CRAN and you can install the latest released version with:

or you can install the latest development version directly from GitHub by running the following:

# install.packages("pak")
pak::pak("insightsengineering/tern")

To understand how to use this package, please refer to the Introduction to tern article, which provides multiple examples of code implementation.

See package vignettes browseVignettes(package = "tern") for usage of this package.

• rtables - table engine used
• tlg-catalog - website showcasing many examples of clinical trial tables, listings, and graphs
• teal.modules.clinical - teal modules for interactive data analysis

This package is the result of the joint efforts by many developers and stakeholders. We would like to thank everyone who has contributed so far!

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