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: spm_eeg_invert_bma.m
    path of file: ./repos/spm
    
    the code of the file until where you have to start completion: function [Jbma,qCbma,PostMax]=spm_eeg_invert_bma(manyinverse,F)
% Compute Bayesian Model Average given a set of current distributions and model evidences
% FORMAT [Jbma,qCbma,PostMax]=spm_eeg_invert_bma(manyinverse,F)
%
% At the moment makes an estimate of posterior covariance based on relative
% weighting of the input posteriors but this could be changed in future.
% At the moment adds a random DC offset (and not a random time series) to
% the estimated current distribution at each vertex.
%__________________________________________________________________________

% Jose David Lopez and Gareth Barnes

    
function [Jbma,qCbma,PostMax]=spm_eeg_invert_bma(manyinverse,F)
% Compute Bayesian Model Average given a set of current distributions and model evidences
% FORMAT [Jbma,qCbma,PostMax]=spm_eeg_invert_bma(manyinverse,F)
%
% At the moment makes an estimate of posterior covariance based on relative
% weighting of the input posteriors but this could be changed in future.
% At the moment adds a random DC offset (and not a random time series) to
% the estimated current distribution at each vertex.
%__________________________________________________________________________

% Jose David Lopez and Gareth Barnes
% Copyright (C) 2013-2022 Wellcome Centre for Human Neuroimaging


%-1. Load F with the free energies and take the probabilities
%--------------------------------------------------------------------------
N = numel(manyinverse);
for j=1:N
    F(j) = manyinverse{j}.F;
end