Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

investigate priors in smoothModel by looking at posterior distributions of non-existent sites #106

Open
famulare opened this issue Sep 20, 2019 · 0 comments
Labels
science Issues related to science behind the software

Comments

@famulare
Copy link
Member

I've tuned the prior so far based on median smoothing, which isn't ideal. We can also get a good sense of priors by looking at the posteriors in regions with no data. I saw an example of this with self-test prevalence extrapolation that should be thought about more.

@famulare famulare added the science Issues related to science behind the software label Sep 20, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
science Issues related to science behind the software
Projects
None yet
Development

No branches or pull requests

1 participant