Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_freqanalysis_mvar”.

  FT_FREQANALYSIS_MVAR performs frequency analysis on
  mvar data, by fourier transformation of the coefficients. The output
  contains cross-spectral density, spectral transfer matrix, and the
  covariance of the innovation noise. The dimord = 'chan_chan(_freq)(_time)
 
  The function is stand-alone, but is typically called through
  FT_FREQANALYSIS, specifying cfg.method = 'mvar'.
 
  Use as
    [freq] = ft_freqanalysis(cfg, data), with cfg.method = 'mvar'
 
  or
 
    [freq] = ft_freqanalysis_mvar(cfg, data)
 
  The input data structure should be a data structure created by
  FT_MVARANALYSIS, i.e. a data-structure of type 'mvar'.
 
  The configuration can contain:
    cfg.foi = vector with the frequencies at which the spectral quantities
                are estimated (in Hz). Default: 0:1:Nyquist
    cfg.feedback = 'none', or any of the methods supported by FT_PROGRESS,
                     for providing feedback to the user in the command
                     window.
 
  To facilitate data-handling and distributed computing you can use
    cfg.inputfile   =  ...
    cfg.outputfile  =  ...
  If you specify one of these (or both) the input data will be read from a *.mat
  file on disk and/or the output data will be written to a *.mat file. These mat
  files should contain only a single variable, corresponding with the
  input/output structure.
 
  See also FT_MVARANALYSIS, FT_DATATYPE_MVAR, FT_PROGRESS