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### Description
It would be interesting if we could specify a nested hierarchical structure to random effects at all Mixed Modes platform, the same way lme4 allows.
### Purpose
Increase the flexibi…
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**Please describe the feature you want**
I've been using a large completion model with my GPU. I'd like to add a chat model as well, but there's not enough GPU memory for the large completion model…
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``` r
library(rstanarm)
performance::performance(lme4::lmer(Sepal.Length ~ Petal.Length + (1 | Species), data = iris))
#> # Indices of model performance
#>
#> AIC | BIC | R2_conditional …
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Thank you so much for all your work on mixed models throughout the R ecosystem!
I found these pages as a great summary of how mixed models are available within R. One thing that I have not found i…
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* Enhancement: add the ability to check assumptions of mixed models and quantify the performance of models
* Purpose: improve transparency of analysis
* Use-case: mixed models are becoming increasin…
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Submitting Author Name: Øystein Sørensen
Submitting Author Github Handle: @osorensen
Repository: https://github.com/LCBC-UiO/galamm
Version submitted: 0.1.1.9000
Submission type: Stats
Badge…
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BAS makes using well-established prior types a breeze. Thanks for that!
I would very much like to see BAS.lm and BAS.glm extended to mixed models, i.e. models with random effects. This would pave …
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### Description
Making contrasts easier to specify
### Purpose
More convenient--would no doubt help uaers who don't know about the sum averaging procedure.
### Use-case
_No response_
### Is your…
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Hi @florianhartig ,
just got pointed to this nice package by @hugesingleton - we built `mmrm` (https://openpharma.github.io/mmrm) implementing mixed models for repeated measures and it seems there …
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- [ ] Train different models with mixed precision and inspect if it doesn't break the API, leads to better performance at similar accuracy without leading to numeric instabilities / NaN loss.
- [ ] B…