ADaM in R Asset Library
To provide an open source, modularized toolbox that enables the pharmaceutical programming community to develop ADaM datasets in R.
Once the package is available from CRAN you'll be able to install it using install.packages("admiral").
In the meantime you can install the latest release of the package directly from GitHub.
if (!requireNamespace("remotes", quietly = TRUE)) {
install.packages("remotes")
}
remotes::install_github("Roche-GSK/admiral.test") # This is a required dependency of {admiral}
remotes::install_github("Roche-GSK/admiral")- Build a toolbox of re-usable functions and utilities to create ADaM datasets using R scripts 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 ...)
-
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
-
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.