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In my first attempt using Photon-ML, I have trained a mixed effects model that includes an intercept-only random effect. I then try to use the scoring driver, using the tutorial as a template.
I'…
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asking on behalf of @yarikoptic after we stumbled across https://github.com/nistats/nistats/issues/27 when we looked at how the higher level models are computed.
adswa updated
4 years ago
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Hello all.
I am running a mixed linear models, but I have been using the plot_model to generate the regression model graph
When I run linear mixed effect model (lmer function) the out put doesn't ma…
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While linear mixed effect models are supported, nonlinear mixed effects models like `nlme` are not supported at this time. I'm unsure this is in scope or out of scope for this project.
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Whenever I run a linear mixed effect model on a large dataset, the model seems to compute. However, when I query it, I find instead that it's caused the console I am using to lose all its variables an…
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#### Summary:
Not all point estimates in **stanreg** objects are actually posterior median values (notably **fitted.values**, **residuals**, and, for mixed effects regressions, estimates returned by …
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### Before
_No response_
### After
_No response_
### Context for the issue:
cc: @bwengals @athowes @junpenglao
previous closed LA/INLA issues: https://github.com/pymc-devs/pymc/pull/4847 and …
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Background: What if we have a new patient in the test set that has a new random effect e.g. SLD parameters (e.g. ks)?
To do:
- [ ] think about methods side
- [ ] if we have a much simpler linea…
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Package [mlmtools](https://cran.r-project.org/package=mlmtools) definitely seems relevant, although it provides a bit of a mix of different things (e.g., some pre-processing stuff, $R^2$, some visuali…
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I think when merging mixed models tables, it would make sense to sepatate the fixed from the random effects part. This is how it currently looks like in _gtsummary_ (you see that residual SD is at the…