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LIMO MEEG is a free open source and open development toolbox for the statistical analysis of MEEG data. It works under Matlab and reuses / is integrated with EEGLAB. Together, this allows creating fully reproducible workflows, as explained in this paper.
The old version 1.5, is more or less what was described in the toolbox article. It is now archived and can be cited using the DOI as: LIMO Team; Pernet, Cyril; Rousselet, Guillaume; Gaspar, Carl; Chauveau, Nicolas. (2016). LIMO EEG v1.5, University of Edinburgh, Centre for Clinical Brain Sciences.http://dx.doi.org/10.7488/ds/1557
Data per subject must be in subject-specific folders - LIMO will then create local copies/analyses per subject (1st level) and you can then run a group level analysis. The best option is to follow the Brain Imaging Data Structure making working with EEGLAB/FieldTrip/LIMO easier.
There is a walkthrough tutorial to explore with real data (almost) all options available.
There is plenty of documentation in the help folder but ideally, everything should be in the wiki for easy updating. Feel free to let us know what you want to see here. If you are a user and found the tool useful for your research, we would be grateful for your contribution to the wiki. You can also check our open contribution page if you want to get involved in programming.
LIMO EEG is based on a hierarchical linear model (a la SPM).
The 1st level consists of modelling all trials for each subject. This way we can derive parameter estimates for any effects. Not just the traditional categorical variables (e.g. 2*2 = 4 conditions) but also all sort of continuous variables - either controlled experimentally or measured as noise covariates.
The 2nd level analysis simply takes those parameter estimates and perform robust statistics of them. The point of robust statistics is that if data are normal, it's the same as the usual stats if not, it handles outliers and is more powerful.
Information on files and LIMO structure can be found on the 'information and dimensions about files on drive' and 'LIMO files' pages.