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Download from Github
Getting Started
Unfold’s toolbox workflow
Massive univariate modeling (rERP)
Artefacts & missing data/predictors
Removing artifactual data
Imputation of missing data
Theoretical Background
Introduction to linear modeling
Why deconvolution?
How does deconvolution work?
Introduction to additive/spline linear modeling
The connection of (formal) convolution and timeexpansion
Tutorials / Examples
Quickstart: 2x2 ANOVA
Longstart: 2x2 ANOVA
Non-Linear Predictors using splines
With and without deconvolution
Time-Basis functions
2nd level (group/subject) statistics
Single trial ERPimages
Temporal Response Functions (TRFs)
Analysis from the PeerJ paper
Function Documentation
Essential functions
Data cleaning
Massive univariate linear modelling
Designmatrix-Tools
Post-Fit tools
Plotting
plot events & designmatrix
plot results
Data Structures
Minimal Data Specifications
Fields of
EEG.unfold()
Fields of
ufresult()
Fields of
unfold.splines()
Getting Started
Theoretical Background
Tutorials / Examples
Quickstart: 2x2 ANOVA
Longstart: 2x2 ANOVA
Non-Linear Predictors using splines
With and without deconvolution
Time-Basis functions
2nd level (group/subject) statistics
Single trial ERPimages
Temporal Response Functions (TRFs)
Analysis from the PeerJ paper
Function Documentation
Data Structures
With and without deconvolution
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