Comments (4)
AlejandroCatalina
commented on June 4, 2024
I cannot think of a situation where order is instrumental, so I have set the default to subsampling and left the option for thinning out for now. I might make a commit next to include a thinning scenario. I have also simplified the code as you suggested. Thanks (the commit will appear soon).
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fweber144
commented on June 4, 2024
Thanks for addressing this. I guess line
Line 274 in 02cd50d
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fweber144
commented on June 4, 2024
Just to have this documented: A personal discussion revealed that thinning should be the default (addressed in commit 3ef419e).
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fweber144
commented on June 4, 2024
Closing this as it's solved for my understanding. Re-open if you want/need to.
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Related Issues (20)
- Test Suite Crashes HOT 5
- variable selection for uncorrelated random variables HOT 3
- Incompatible with brms when random effects are specified with || syntax HOT 2
- Error from multivariate brms models HOT 6
- Memory issues in multilevel models HOT 2
- Predictive performance gap / jumpy behavior at full size in Gaussian multilevel model HOT 1
- For a stan_glm model cv_varsel with loo works, but kfold gives an error HOT 4
- plot.vsel shows extra xtick label HOT 1
- brmsfit cumulative model & Latent projection predictive feature selection HOT 3
- Convergence checks for additive submodels HOT 4
- Allow dispersion parameter to be observation-specific HOT 1
- Smoothing of cross-validated predictive performance HOT 1
- Add R2 as performance statistic HOT 4
- Error when getting reference model with k-fold cross validation for cv_varsel HOT 9
- Truncated response distributions
- Clarify doc for refit_prj HOT 2
- Don't warn about slightly large khats HOT 1
- Remove QR=TRUE from the vignette
- Guide on latent_ll_oscale for other families e.g. zero-inflated negative binomial, hurdle negbinom HOT 5
- Using projpred in multi-response models with group correlated hierarchical effects HOT 3
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