ToDo:
- Write code to list constraints selected by user
- Record survey answers (which might perhaps reveal the approach recommended most often, or the most "typical" user data)
- Add Google Analytics
- Add link to github page, so people know where to find the code
Notes:
- "Estimation" is synonymous with regression in this model
- "Base" code was generated via Jupyter notebook, but the javascript function needs to process NaNs -- this modification was done by hand