Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_connectivity_csd2transfer”.

  FT_CONNECTIVITY_CSD2TRANSFER computes the transfer-function from frequency domain
  data using the Wilson-Burg algorithm. The transfer function can be used for the
  computation of directional measures of connectivity, such as Granger causality,
  partial directed coherence, or directed transfer functions.
  Use as
    [output] = ft_connectivity_csd2transfer(freq, ...)
  The input variable freq should be a FieldTrip data structure containing frequency
  domain data containing the cross-spectral density computed between all pairs of
  channels, thus containing a 'dimord' of 'chan_chan_freq(_time)'.
  Additional optional input arguments come as key-value pairs:
    numiteration = scalar value (default: 100) the number of iterations
    channelcmb   = Nx2 cell-array listing the channel pairs for the spectral
                     factorization. If not defined or empty (default), a
                     full multivariate factorization is performed, otherwise
                     a multiple pairwise factorization is done.
    tol          = scalar value (default: 1e-18) tolerance limit truncating
                     the iterations
    sfmethod     = 'multivariate', or 'bivariate'
    stabilityfix = false, or true. zigzag-reduction by means of tapering of the
                     intermediate time domain representation when computing the
  The code for the Wilson-Burg algorithm has been very generously provided by Dr.
  Mukesh Dhamala, and Prof. Mingzhou Ding and his group, and has been adjusted for
  efficiency. If you use this code for studying directed interactions, please cite
  the following references:
    - M.Dhamala, R.Rangarajan, M.Ding, Physical Review Letters 100, 018701 (2008).
    - M.Dhamala, R.Rangarajan, M.Ding, Neuroimage 41, 354 (2008).