ADaM in R Asset Library
To provide an open source, modularized toolbox that enables the pharmaceutical programming community to develop ADaM datasets in R.
- Build a toolbox of re-usable functions and utilities to create ADaM datasets in R in a modular manner
- Pharmaceutical communities and companies are encouraged to contribute to admiral following the provided programming strategy and modular approach
- All functions are documented, tested, include examples and are listed in the Reference section
- Vignettes how to create ADSL, BDS and OCCUR datasets, including example scripts
- Vignettes for ADaM dataset specific functionality (i.e. dictionary coding, date imputation, SMQs ...)
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Think of admiral as a toolbox of modular blocks (R functions) to create analysis derivations
- Each block has a stand alone purpose, i.e. each function provides a specific functionality
- Data Scientists can create their own blocks, i.e. create own R functions
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Constructing ADaM dataset should become like building out of blocks that are based on admiral modular functions and user created modular functions
- Please go to Get Started section to start using admiral
- Please see the Programming Strategy to understand how functions are created
- Please see the FAQ for the most frequent questions
In case your questions are not answered please contact us on Slack.