MixedModels.jl
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A Julia package for fitting (statistical) mixed-effects models
I am finding it quite convenient to work with the `Table` type from [TypedTables.jl](https://github.com/JuliaData/TypedTables.jl) and have added a dependency on that package in the `profile` branch. I plan to re-export...
Are GLMMs with empty fixed effects actually successfully fitted?
note: this is not yet correct - [ ] add entry in NEWS.md - [ ] after opening this PR, add a reference and run `docs/NEWS-update.jl` to update the cross-references....
- [ ] add entry in NEWS.md - [ ] after opening this PR, add a reference and run `docs/NEWS-update.jl` to update the cross-references. - [ ] I've bumped the...
Since the major problem is the evaluation of the log likelihood and not PIRLS, evaluation of the linear predictor, etc., there may be valid reasons for constructing a model from...
Thanks for contributing! Did behavior change? Did you add need features? If so, please update NEWS.md - [ ] add entry in NEWS.md - [ ] after opening this PR,...
The following example gives a different result with Julia 1.11.5 compared with Julia 1.10.5 ``` using DataFrames, CSV, MixedModels df = CSV.read("data.csv", DataFrame) _lmm = LinearMixedModel( @formula(endpoint ~ 1 +...
This is a speculative draft PR. I think `VitePress` based docs look much better than the default julia-docs style. While mostly an aesthetic choice, one particular issue with the current...
- This branch is mostly to use github CI to fit the insteval model from https://github.com/JuliaMixedModels/Manuscripts/blockedcholesky on a variety of architectures/operating systems/versions of Julia
@palday We should keep an eye on the work being done on JSON.jl. At present we use JSON3.jl for save/restore of model fits but Jacob expects to release a new...