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Hi @deruncie !
I am working with a longitudinal data with 4 time points and want to explore the SNP*Time interaction. In lmer4, I run it with:
```
m
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Dear Giora,
Stunning work on combining neural networks with mixed effects models! I'm interested in applying this to a binary classification task.
Since I couldn't find an example that uses mode…
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Hello,
I'm trying to use the random slopes of a mixed-effects model as an input for another statistical test, however I'm having issues with getting the mincLmer to run when specifying the summary…
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what's the best way to get one-way covariance for example in unbalanced panel?
After reshape and filling with nans we could use masked arrays or pandas.
data: x = 2d data, groups is 1d integer …
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In the case of mixed models often we have to deal with incomplete data, for example, in longitudinal studies, subjects often drop out from the study. In this context, the framework of mixed models pro…
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Hi Florian,
I have been trying to understand how to consider non-uniform residuals in y-direction against a predictor while fitting models in the context of low sample size.
I have fitted a Bet…
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@pharmcat has implemented ANOVA type III for LinearMixedModels in https://github.com/PharmCat/ReplicateBE.jl. Would it possible to have the functionality ported to this package?
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I am fitting a mixed model with about 10,000 groups, eg:
``
import statsmodels.formula.api as smf
``
``
model = smf.mixedlm('Y ~ cov_1 + cov_2 + cov_3',
data,
groups …
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Hello - thanks for the wonderful package. From the writeup and the description, it seems very promising.
I wanted to check if GPBoost supports or will support sample weights? I have tried in both …
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Will you consider train with mixed-precision?
It can speedup inference and lower vram usage.