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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, for example:

  • Data visualizations:
    • forest plots
    • line plots
    • Kaplan-Meier plots
  • Statistical model fits:
    • logistic regression
    • Cox regression
  • Summary tables:
    • unique patients
    • exposure across patients
    • change from baseline for parameters

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


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:

if (!require("remotes")) install.packages("remotes")

Note that it is recommended you create and use a GITHUB_PAT if installing from GitHub.

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


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

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