The purpose of the sendigR package is to extract control data from a set of nonclinical studies stored in CDISC SEND format in a database to be used for cross study analysis.
sendigR includes:
Functions to construct a relational database from any collection of SEND datasets;
functions to query control data from database;
An R Shiny application with a graphical user interface for facilitating cross-study analysis. Demo App can be found here.
An optional Python package (xptclearner) to harmonize SEND datasets using SEND controlled terminology and extensible terminology;
Familiarity with the CDISC SEND data model and at least basic knowledge about animal studies is necessary to use the package.
Step by Step Installation
Installation of R and RStudio
R version 4.1.2 and above are used in developing and testing the sendigR.
Installation of Python and xptcleaner (optional)
Python version 3.9.6 and above are used in developing and testing the xptcleaner of sendigR. This is an optional component, you can skip this step if you will not use the xptcleaner to clean the xpt files.
Installation of sendigR package
# Get CRAN version, this will be available soon
install.packages("sendigR")
# Or the development version from GitHub:
install.packages("devtools")
devtools::install_github('phuse-org/sendigR')sendigR License
The sendigR package including the optional Python xptcleaner is subject to the MIT Open Source License:
MIT License
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