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Update index.md (#187)
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Co-authored-by: Benedikt Ehinger <[email protected]>
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vladdez and behinger authored Apr 16, 2024
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Expand Up @@ -13,15 +13,16 @@ In case you want to understand the toolbox better, we plan to offer **technical
## Quick start
There are four different model types currently "fitable"

1. Timeexpansion **No**, Mixed **No** : `fit(UnfoldModel,[Any=>(f,-0.1:0.01:0.5)],evts,data_epoch)`
1. Timeexpansion **Yes**, Mixed **No** : `fit(UnfoldModel,[Any=>(f,basisfunction)],evts,data)`
1. Timeexpansion **No**, Mixed **Yes** : `fit(UnfoldModel,[Any=>(fLMM,-0.1:0.01:0.5)],evts,data_epoch)`
1. Timeexpansion **Yes**, Mixed **Yes**: `fit(UnfoldModel,[Any=>(fLMM,basisfunction)],evts,data)`
1. Timeexpansion **No**, Mixed **No** : `fit(UnfoldModel, [Any=>(f, -0.1:0.01:0.5)], evts, data_epoch)`
1. Timeexpansion **Yes**, Mixed **No** : `fit(UnfoldModel, [Any=>(f, basisfunction)], evts, data)`
1. Timeexpansion **No**, Mixed **Yes** : `fit(UnfoldModel, [Any=>(fLMM, -0.1:0.01:0.5)], evts, data_epoch)`
1. Timeexpansion **Yes**, Mixed **Yes**: `fit(UnfoldModel, [Any=>(fLMM, basisfunction)], evts, data)`

With

```julia
f = @formula 0~1+condition
fLMM = @formula 0~1+condition+(1|subject) + (1|item)
basisfunction = firbasis=(-0.1,0.5),sfreq=100"))
f = @formula 0 ~ 1 + condition
fLMM = @formula 0 ~ 1 + condition + (1|subject) + (1|item)
basisfunction = firbasis = (-0.1,0.5), sfreq = 100))
```

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