{"repo":"unfoldtoolbox/Unfold.jl","free":true,"listed":false,"github":"https://github.com/unfoldtoolbox/Unfold.jl","clone":"git clone https://github.com/unfoldtoolbox/Unfold.jl.git","description":"Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia","language":"Julia","stars":70,"topics":["eeg","erp","julia","mixed-models","modeling","regression","deconvolution","overlap","splines","event-related-potentials"],"license":"MIT","category":"dashboards-admin","readme_excerpt":"Estimation Visualisation Simulation BIDS pipeline Decoding Statistics MixedModelling --- --- --- --- --- --- --- Package (-family) to perform linear / GAM / hierarchical / deconvolution regression on biological signals. This kind of modelling is also known as encoding modeling, linear deconvolution, Temporal Response Functions (TRFs), linear system identification, and probably under other names. fMRI models with HRF-basis functions and pupil-dilation bases are also supported. Getting started 🐍Python User? We clearly recommend Julia 😉 - but Python users can use juliacall/Unfold directly from python! Julia installation 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 Windows AppStore - JuliaUp, or winget install julia -s msstore in CMD Mac & Linux curl -fsSL https://install.julialang.org sh in any shell Unfold.jl installation Usage Please check out the documentation for extensive tutorials, explanations and more! Tipp on Docs You can read the docs online: - or use the ?fit , ?effects julia-REPL feature. To filter docs, use e.g. ?fit(::UnfoldModel) Here is a quick overview on what to expect. What you need To fit any of the models, Unfold.jl offers a unified syntax: Overlap-Correction Mixed Modelling julia syntax :---: :---: --- fit(UnfoldModel,[Any= (f,times)),evts,dat","default_branch":null,"files":null,"tree":[],"storefront":"/r/unfoldtoolbox","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/unfoldtoolbox/Unfold.jl/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}