MixedModels.jl
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JuliaStats
A Julia package for fitting (statistical) mixed-effects models
Hi, great package, I just have a small suggestion for the documentation. I was using MixedModels to fit a model with many levels and got the following error: ``` ┌...
- [x] #651 - [ ] ??? cc: @ararslan
Is this package able to fit [Multinomial Logistic Regression](https://en.wikipedia.org/wiki/Multinomial_logistic_regression) models or any other type of model with categorical/multiple discrete outcomes? These types of models often come up when you need...
[Satterthwaite Degrees of Freedom Approximation](https://documentation.sas.com/?docsetId=statug&docsetTarget=statug_glimmix_details39.htm&docsetVersion=15.1&locale=en).
- [x] evaluate the trace of the "hat" matrix. I think the best (universal) value of `dof_residual` may be `nobs - tr(H)`. Alternatively it may be the case that different...
At present the generic `rankdowndate!` performs the `C := β .* C + α .* A * A'` operation. This could be written as a 5-argument `mul!` method but we...
This is mostly for advanced users, but it would good to show how `zerocorr` achieves what it does. The `zerocorr!(::MixedModel)` that I'm currently killing in #406 can be made a...
In the "something to think about for the future" category, it seems to me that the basic loop in `glm` and `glmm` evaluations, `eta -> mu -> varfunc -> mueta...
Currently, the dispersion parameter for families with one isn't taken into account when calculating the deviance for GLMMs. For example, in Julia we have: ```julia julia> lexdec_glmm_gamma Generalized Linear Mixed...
I can't find any mention of Nonlinear regression capabilities by the MixedModels package. Is that something that it can do to compare with `R`'s `nlme & lme4` packages?
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A Julia package for fitting (statistical) mixed-effects models