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This package contains a set of standard teal modules to be used with CDISC data in order to generate many of the standard outputs used in clinical trials.

These modules include, but are not limited to: - data visualizations: - forest plots - line plots - Kaplan-Meier plots - … - statistical model fits: - MMRM - logistic regression - Cox regression - … - summary tables: - unique patients - exposure across patients - change from baseline for parameters - … - patient-level profile modules - tm_t_pp_basic_info: table of basic information about chosen patient - tm_g_pp_vitals: plot of patient vitals over time - tm_g_pp_patient_timeline: general timeline for individual patients - … Most of the modules in teal.modules.clinical use functions from the R package tern in order to produce their output.

Please see teal gallery and TLG Catalog to see examples of teal apps with modules from this package.


For releases from August 2022 it is recommended that you create and use a Github PAT to install the latest version of this package. Once you have the PAT, run the following:

Sys.setenv(GITHUB_PAT = "your_access_token_here")
if (!require("remotes")) install.packages("remotes")

You might need to manually install all of the package dependencies before installing this package as without the dependencies = FALSE argument to install_github it may produce an error.

A stable release of all NEST packages from June 2022 is also available here.

See package vignettes browseVignettes(package = "teal.modules.clinical") for usage of this package.


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

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