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It seems that there's no decreasing of lattency on codellama-7b-gptq model using AutoGPTQ.
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Below is a to do list, where items near the top are considered more important
- [x] Add unit tests
- [x] Add other types of functional regression models
- [x] Update UI for regression functions s…
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When I try to create an multilevel model table using tab_model, I receive the following error when setting df.method="satterthwaite":
Error in lmerTest::as_lmerModLmerTest(model) :
Unable to ex…
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It would be useful to compute the multilevel correlation as a random intercept & random slope mixed-effects model, which allows ID slopes to vary. This option, along with the current approach (random…
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With Stan 2.33+ several old language syntax features produce errors. All the case studies would be good to update to use the latest syntax. Many case studies are in external repos and the authors have…
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Thanks a lot for this package, it's a great addition to `tidymodels`! I've been following the conversation on multilevel models and `tidymodels` somewhere else I can't remember and I think it would be…
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Let's make a list here of analyses we should support.
Model comparison
- [x] anova()
Regression
- [x] glm()
- [x] MANOVA
- [ ] ridge
- [ ] lasso
- [ ] elastic net
Multilevel
- [x] lme…
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did I see something with glmmTMB()? gamm()? that might be able to run the combined model in one shot?
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It'd be nice to have the option for cluster-robust standard errors for ordinal data (when using WLSMV). Much of my data are ordinal and nested, so this is the primary issue that prevents me from makin…
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I need to model some data with survey weights, and it seems like the weights arguments in wbm and (especially) wbm_stan are not consistently working correctly. Different errors are thrown when estimat…