API Reference¶

This is the classes and functions reference of mnefun.

Experiment analysis¶

Classes:

Params([tmin, tmax, t_adjust, bmin, bmax, ...])

Make a parameter structure for use with do_processing.

Functions:

`convert_ANTS_surrogate`(subject, trans, ...)	Convert an old ANTS surrogate to a modern one.
`do_processing`(p[, fetch_raw, do_score, ...])	Do M/EEG data processing.
`extract_expyfun_events`(fname[, return_offsets])	Extract expyfun-style serial-coded events from file
`get_atlas_mapping`(atlas)	Get an atlas mapping.
`get_atlas_roi_mask`(stc, roi[, atlas, ...])	Get ROI mask for a given subject/atlas.
`get_fsaverage_medial_vertices`([concatenate, ...])	Return fsaverage medial wall vertex numbers.
`get_raw_fnames`(p, subj[, which, erm, ...])	Get raw filenames.
`make_dipole_projectors`(info, pos, ori, bem, ...)	Make dipole projectors.
`read_params`(fname)	Create Params from a YAML file.
`repeat_coreg`(subject[, subjects_dir, ...])	Repeat a mne coreg warping of an MRI.
`run_sss_command`(fname_in, options, fname_out)	Run Maxfilter remotely and fetch resulting file.
`run_sss_positions`(fname_in, fname_out[, ...])	Run Maxfilter remotely and fetch resulting file
`safe_inserter`(string, inserter)	Insert a subject name into a string if %s is present.

anova_time(X[, transform, signed_p, gg])

A mass-univariate two-way ANOVA (with time as a co-variate)