rERP | EEG visualisation | EEG Simulations | BIDS pipeline | Decode EEG data | Statistical testing |
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A toolbox for statistical testing of EEG/ERP data and Unfold.jl models. Build on the Unfold.
Caution
This package is work in progress. We have not (yet) extensively checked the validity and correctness of the statistical tests. While we think these are valid approaches, we have ongoing studies investigating whether this is actually the case. If you notice some unexpected behavior please open an issue!
Click to expand
The recommended way to install julia is juliaup. It allows you to, e.g., easily update Julia at a later point, but also test out alpha/beta versions etc.
TL:DR; If you dont want to read the explicit instructions, just copy the following command
AppStore -> JuliaUp, or winget install julia -s msstore
in CMD
curl -fsSL https://install.julialang.org | sh
in any shell
using Pkg
Pkg.add("UnfoldStats")
Contributions are very welcome. These could be typos, bugreports, feature-requests, speed-optimization, new solvers, better code, better documentation.
You are very welcome to raise issues and start pull requests!
- We recommend to write a Literate.jl document and place it in
docs/literate/FOLDER/FILENAME.jl
withFOLDER
beingHowTo
,Explanation
,Tutorial
orReference
(recommended reading on the 4 categories). - Literate.jl converts the
.jl
file to a.md
automatically and places it indocs/src/generated/FOLDER/FILENAME.md
. - Edit make.jl with a reference to
docs/src/generated/FOLDER/FILENAME.md
.
If you make use of these statistics, please cite:
Judith Schepers 🚇 |
This project follows the all-contributors specification.
Contributions of any kind welcome! You can find the emoji key for the contributors here
See CITATION.bib
for the relevant reference(s).