Tea is a high-level language and runtime system
for automatically selecting and executing valid statistical tests.
Peruse through community examples.
Research publications and presentations
Research talk on Tea at Microsoft Research. August, 2019.
The development of Tea is led by Eunice Jun (UW) and Maureen Daum (UW).
Tea is a multi-disciplinary and cross-institution collaboration involving Jared Roesch (UW), Sarah Chasins (UC Berkeley), Emery Berger (UMass Amherst), Rene Just (UW), and Katharina Reinecke (UW).
If you would like to collaborate, please get in touch!
Join us in the Tea Room to discuss issues, plan future development, share your experiences, and to just chat!