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_mci_mvntest.m
    path of file: ./repos/bspm/thirdparty/spm12/toolbox/mci/inference
    
    the code of the file until where you have to start completion: function [stats] = spm_mci_mvntest (X,df)
% Test for multivariate normality
% FORMAT [stats] = spm_mci_mvntest (X,df)
%
% X         [N x d] data matrix containing N IID samples of d-variate data
% df        Degrees of freedom e.g. df <= N
%
% stats
% .p        p-value for multivariate normality
%           e.g. with p < 0.05 one can reject null hypothesis of normality 
% .W(j)     Shapiro-Wilks statistic for jth variate
% .Z(j)     Equivalent standardised Gaussian variate for W(j)
% .pusw(j)  p-value for normality of jth variate (Shapiro-Wilks)
% .puks(k)  p-value for normality of jth variate (Kolmogorov-Smirnoff)
% .k        kurtosis of jth variate
% .s        skewness of jth variate
%
% This function is adapted from the matlab function Roystest.m:
%
% Trujillo-Ortiz, A., R. Hernandez-Walls, K. Barba-Rojo and
%   L. Cupul-Magana. (2007). Roystest:Royston's Multivariate Normality Test.   
%   A MATLAB file. [WWW document]. URL http://www.mathworks.com/
%   matlabcentral/fileexchange/loadFile.do?objectId=17811
%
% Royston, J.P. (1992). Approximating the Shapiro-Wilk W-Test for non-
%      normality. Statistics and Computing, 2:117-119.
%      121–133.
%__________________________________________________________________________
% Copyright (C) 2015 Wellcome Trust Centre for Neuroimaging

% Will Penny 
% $Id: spm_mci_mvntest.m 6548 2015-09-11 12:39:47Z will $


    
function [stats] = spm_mci_mvntest (X,df)
% Test for multivariate normality
% FORMAT [stats] = spm_mci_mvntest (X,df)
%
% X         [N x d] data matrix containing N IID samples of d-variate data
% df        Degrees of freedom e.g. df <= N
%
% stats
% .p        p-value for multivariate normality
%           e.g. with p < 0.05 one can reject null hypothesis of normality 
% .W(j)     Shapiro-Wilks statistic for jth variate
% .Z(j)     Equivalent standardised Gaussian variate for W(j)
% .pusw(j)  p-value for normality of jth variate (Shapiro-Wilks)
% .puks(k)  p-value for normality of jth variate (Kolmogorov-Smirnoff)
% .k        kurtosis of jth variate
% .s        skewness of jth variate
%
% This function is adapted from the matlab function Roystest.m:
%
% Trujillo-Ortiz, A., R. Hernandez-Walls, K. Barba-Rojo and
%   L. Cupul-Magana. (2007). Roystest:Royston's Multivariate Normality Test.   
%   A MATLAB file. [WWW document]. URL http://www.mathworks.com/
%   matlabcentral/fileexchange/loadFile.do?objectId=17811
%
% Royston, J.P. (1992). Approximating the Shapiro-Wilk W-Test for non-
%      normality. Statistics and Computing, 2:117-119.
%      121–133.
%__________________________________________________________________________
% Copyright (C) 2015 Wellcome Trust Centre for Neuroimaging

% Will Penny 
% $Id: spm_mci_mvntest.m 6548 2015-09-11 12:39:47Z will $

alpha = 0.05;

if nargin < 1,
    error('Requires at least one input argument.');
    return;
end