You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: bf_group_functionalROI.m
    path of file: ./repos/spm12/toolbox/DAiSS
    
    the code of the file until where you have to start completion: function res = bf_group_functionalROI(BF, S)
% Computes Minimum Norm projectors
% Copyright (C) 2013 Wellcome Trust Centre for Neuroimaging

% Vladimir Litvak, using the code from Matti Stenroos and Olaf Hauk
% http://imaging.mrc-cbu.cam.ac.uk/meg/AnalyzingData/DeFleCT_SpatialFiltering_Tools
%
% Please cite:
% Hauk O, Stenroos M.
% A framework for the design of flexible cross-talk functions for spatial filtering of EEG/MEG data: DeFleCT.
% Human Brain Mapping 2013
% $Id: bf_group_functionalROI.m 7706 2019-11-22 16:30:29Z spm $

%--------------------------------------------------------------------------
if nargin == 0
    measure = cfg_menu;
    measure.tag = 'measure';
    measure.name = 'Measure';
    measure.labels = {'masked covariance', 'variance'};
    measure.val = {'lJcov'};
    measure.values = {'lJcov', 'var'};
    measure.help = {'How to estimate measure'};
    
    spread = cfg_entry;
    spread.tag = 'spread';
    spread.name = 'Spread';
    spread.strtype = 'r';
    spread.num = [1 1];
    spread.val = {4};
    spread.help = {'bla bla bla'};
    
    threshold = cfg_entry;
    threshold.tag = 'threshold';
    threshold.name = 'Threshold';
    threshold.strtype = 'r';
    threshold.num = [1 1];
    threshold.val = {0.01};
    threshold.help = {'bla bla bla'};
    
    mincorr = cfg_entry;
    mincorr.tag = 'mincorr';
    mincorr.name = 'Minimal correlation inside basin';
    mincorr.strtype = 'r';
    mincorr.num = [1 1];
    mincorr.val = {0.7};
    mincorr.help = {'bla bla bla'};
    
    maxsize = cfg_entry;
    maxsize.tag = 'maxsize';
    maxsize.name = 'Maximal size of basin';
    maxsize.strtype = 'r';
    maxsize.num = [1 1];
    maxsize.val = {50};
    maxsize.help = {'bla bla bla'};
 
    distratio1 = cfg_entry;
    distratio1.tag = 'distratio1';
    distratio1.name = 'First ratio between correlation and geodesic based ditances';
    distratio1.strtype = 'r';

    
function res = bf_group_functionalROI(BF, S)
% Computes Minimum Norm projectors
% Copyright (C) 2013 Wellcome Trust Centre for Neuroimaging

% Vladimir Litvak, using the code from Matti Stenroos and Olaf Hauk
% http://imaging.mrc-cbu.cam.ac.uk/meg/AnalyzingData/DeFleCT_SpatialFiltering_Tools
%
% Please cite:
% Hauk O, Stenroos M.
% A framework for the design of flexible cross-talk functions for spatial filtering of EEG/MEG data: DeFleCT.
% Human Brain Mapping 2013
% $Id: bf_group_functionalROI.m 7706 2019-11-22 16:30:29Z spm $

%--------------------------------------------------------------------------
if nargin == 0
    measure = cfg_menu;
    measure.tag = 'measure';
    measure.name = 'Measure';
    measure.labels = {'masked covariance', 'variance'};
    measure.val = {'lJcov'};
    measure.values = {'lJcov', 'var'};
    measure.help = {'How to estimate measure'};
    
    spread = cfg_entry;
    spread.tag = 'spread';
    spread.name = 'Spread';
    spread.strtype = 'r';
    spread.num = [1 1];
    spread.val = {4};
    spread.help = {'bla bla bla'};
    
    threshold = cfg_entry;
    threshold.tag = 'threshold';
    threshold.name = 'Threshold';
    threshold.strtype = 'r';
    threshold.num = [1 1];
    threshold.val = {0.01};
    threshold.help = {'bla bla bla'};
    
    mincorr = cfg_entry;
    mincorr.tag = 'mincorr';
    mincorr.name = 'Minimal correlation inside basin';
    mincorr.strtype = 'r';
    mincorr.num = [1 1];
    mincorr.val = {0.7};
    mincorr.help = {'bla bla bla'};
    
    maxsize = cfg_entry;
    maxsize.tag = 'maxsize';
    maxsize.name = 'Maximal size of basin';
    maxsize.strtype = 'r';
    maxsize.num = [1 1];
    maxsize.val = {50};
    maxsize.help = {'bla bla bla'};
 
    distratio1 = cfg_entry;
    distratio1.tag = 'distratio1';
    distratio1.name = 'First ratio between correlation and geodesic based ditances';
    distratio1.strtype = 'r';
    distratio1.num = [1 1];
    distratio1.val = {4};
    distratio1.help = {'bla bla bla'};
    
    distratio2 = cfg_entry;
    distratio2.tag = 'distratio2';
    distratio2.name = 'Second ratio between correlation and geodesic based ditances';
    distratio2.strtype = 'r';
    distratio2.num = [1 1];
    distratio2.val = {2};
    distratio2.help = {'bla bla bla'};
    
    maxclustsize = cfg_entry;
    maxclustsize.tag = 'maxclustsize';
    maxclustsize.name = 'Maxclust size';
    maxclustsize.strtype = 'r';
    maxclustsize.num = [1 1];
    maxclustsize.val = {30};
    maxclustsize.help = {'bla bla bla'};
    
    maxclust = cfg_branch;
    maxclust.tag = 'maxclust';
    maxclust.name = 'Maxclust';
    maxclust.val  = {maxclustsize};

    cutoffthresh = cfg_entry;
    cutoffthresh.tag = 'cutoffthresh';
    cutoffthresh.name = 'Cutoff threshold';
    cutoffthresh.strtype = 'r';
    cutoffthresh.num = [1 1];
    cutoffthresh.val = {7};
    cutoffthresh.help = {'bla bla bla'};
   
    cutoff = cfg_branch;
    cutoff.tag = 'cutoff';
    cutoff.name = 'Cutoff';
    cutoff.val  = {cutoffthresh};
    
    cluster = cfg_choice;
    cluster.tag = 'cluster';
    cluster.name = 'Cluster method';
    cluster.values = {maxclust, cutoff};
    cluster.val = {cutoff};
    
    linkmeth = cfg_menu;
    linkmeth.tag = 'linkmeth';
    linkmeth.name = 'Linkage method';
    linkmeth.labels = {'complete', 'average'};
    linkmeth.val = {'complete'};
    linkmeth.values = {'complete', 'average'};
    linkmeth.help = {'bla bla bla'};

    similarity = cfg_entry;
    similarity.tag = 'similarity';
    similarity.name = 'Similarity threshold';
    similarity.strtype = 'r';
    similarity.num = [1 1];
    similarity.val = {0};
    similarity.help = {'bla bla bla'};

    functionalROI      = cfg_branch;
    functionalROI.tag  = 'functionalROI';
    functionalROI.name = 'Functional ROI';
    functionalROI.val  = {measure, spread, threshold, mincorr, maxsize, distratio1, distratio2, cluster, linkmeth, similarity};
    functionalROI.help = {'bla bla bla'};
    res = functionalROI;
    
    return
elseif nargin < 2
    error('Two input arguments are required');
end