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.

Sign up for GitHub

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

Jump to bottom

implementing robustness checks for Bayes Factor à la JASP #472

Open
IndrajeetPatil opened this issue Oct 9, 2021 · 2 comments
Open

implementing robustness checks for Bayes Factor à la JASP #472

IndrajeetPatil opened this issue Oct 9, 2021 · 2 comments
Labels
Enhancement 💥 Implemented features can be improved or revised

Comments

@IndrajeetPatil
Copy link
Member

I think this will be a nice addition to the already exhaustive coverage we have of Bayes Factor computation:

image
@IndrajeetPatil IndrajeetPatil added the Enhancement 💥 Implemented features can be improved or revised label Oct 9, 2021
@mattansb
Copy link
Member

Some caveats:

  1. For Stan based models, this will be computationally expensive. But also, see check sensitivity to priors specification #189
  2. For BayesFactor models we run into the problem that these models don't have an update() method, so we would have to build the whole thing from scratch. JASP runs these models for the user anyway, so it's not really an issue for them.

@mattansb
Copy link
Member

I mean, I think they only way to do this would be to have wrappers for the simple BayesFactor functions? But I don't think bayestestR would be the place for that. Maybe one of your packages?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
Enhancement 💥 Implemented features can be improved or revised
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@IndrajeetPatil @mattansb