caastools is a simple package to assist in the management and analysis of data collected from clinical interviews at the CAAS coding labs. It provides a unified data storage and retrieval framework as well as statistical implementations for the most commonly used analyses

Installation is simple.

• Preferred: download the most recent version of the caastools wheel (currently v1.5.4.1) and install via pip -> pip install path_to_wheel
• Clone the repository to a folder on your local machine
• You can also install via:
  • Clone the repository to your local machine
  • From the caastools folder, run setup.py install to install from an egg, or setup.py bdist_wheel to build a wheel and install as instructed above

Dependencies should resolve on their own, but caastools has the following dependencies:

• lxml >= 4.3.3
• peewee >= 3.0
• numpy >= 1.16.0
• scipy >= 1.3.0
• pandas >= 1.0.0
• matplotlib >= 3.1.0
gi
• savReaderWriter >= 3.4.0