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# Unfold Documentation
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```@meta
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CurrentModule = Unfold
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```
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# Unfold.jl Documentation
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Welcome to [Unfold.jl](https://github.com/unfoldtoolbox/Unfold.jl):
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If you want to follow the **tutorials**, best to start with the [mass-univariate approach](@ref lm_massunivariate), which should be familiar to you if you did ERPs before. Then the [overlap-correction tutorial](@ref lm_overlap). If you are then not satisfied, check out more advanced topics: [effects-interface (aka what to do after fitting)](@ref effects), or non-linear effects.
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In case you want to understand the toolbox better, we plan to offer **technical references**. This includes Benchmarks & Explorations.
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## Quick start
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```@raw html
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<div style="width:60%; margin: auto;">
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</div>
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```
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## Key features
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-**Modularity:**
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-**:**
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## Installation
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```julia-repl
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julia> using Pkg; Pkg.add("Unfold")
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```
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For more detailed instructions please refer to [Installing Julia & Unfold.jl](@ref install_instruct).
It is also possible to fit Linear Mixed Models using the sister-package `UnfoldMixedModels.jl`
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### MixedModels
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It is also possible to fit Linear Mixed Models using the sister-package [UnfoldMixedModels.jl](https://unfoldtoolbox.github.io/UnfoldDocs/UnfoldMixedModels.jl/stable/)
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