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

Small fix in loo_model_weights doc #276

Merged
merged 1 commit into from
Oct 4, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion R/loo_model_weights.R
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,8 @@
#' log-likelihood matrices then [loo()] is called internally on each matrix.
#' Currently the `loo_model_weights()` function is not implemented to be used
#' with results from K-fold CV, but you can still obtain weights using K-fold
#' CV results by calling the `stacking_weights()` function directly.
#' CV results by calling the `stacking_weights()` or `pseudobma_weights()`
#' function directly.
#' @param method Either `"stacking"` (the default) or `"pseudobma"`, indicating which method
#' to use for obtaining the weights. `"stacking"` refers to stacking of
#' predictive distributions and `"pseudobma"` refers to pseudo-BMA+ weighting
Expand Down
Loading