Comments (2)
jgabry
commented on June 3, 2024
Hey Carlos, yeah we could be more clear about the posterior samples vs observations. Thanks for the suggestion.
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avehtari
commented on June 3, 2024
I started to make a PR for this, but there is a challenge that the second dimension (here 262) is not necessary the number of observations, as we can leave out more than one observation, and there is no way loo package can infer that. How about
Computed from 4000 posterior draws by 262 log-likelihood terms matrix
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Related Issues (20)
- Report ESS 0 if khat too large HOT 12
- Change n_eff to ESS HOT 4
- loo_moment_match.brmsfit crashes R and RStudio HOT 1
- Update references in vignettes HOT 1
- Test failures on M1 Mac
- Add R2 HOT 6
- Possibly missing cleanup? HOT 1
- Add support for `cmdstanr` models to the `extract_log_lik` function HOT 4
- Clarification on using loo_moment_match() with non-Stan objects HOT 4
- Typo in FAQ?
- Moment matching with iwmm package HOT 4
- loo_predictive_metric and loo_crps could accept psis objects to reduce computation HOT 2
- loo_compare for crps and loo_crps HOT 10
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- Adding "loo" criterion with add_criterion and moment_match=TRUE is failing even when save_pars(all=TRUE) was set during model fit HOT 12
- (loo_)(s)crps could ask for only one argument with predictions HOT 3
- `.wvar` internal function isn't calculating the right thing HOT 1
- Inconsistent Pareto k-values for SIS? HOT 10
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