franksnormalize.m

The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesi

function [normtable, logschaal]=franksnormalize(table,N,report_schaal)
if nargin==2, report_schaal=false; end

if report_schaal==true, logschaal=zeros(1,N); end
%a= find(~isemptycell(table));

%for i=1:length(a)
    %e=a(i);
    %dims=size(table{e});
    dims=size(table);
    
    denom=franks_marginalize_pot(table,1:length(dims)-1,[N 1]);
    if report_schaal==true 
        %logschaal(:)=logschaal(:)+log(denom); 
        
        logschaal(:)=log(denom); 
    end
    denom=replicate_pot(denom,1:length(dims)-1,dims);
    %normtable{e}=pot_division(table{e},denom);
    normtable=pot_division(table,denom);
    
    %end