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diff --git a/sourcecodes/bnt-master/KPMstats/logist2Apply.m b/sourcecodes/bnt-master/KPMstats/logist2Apply.m
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+function p = logist2Apply(beta, x)
+% LOGIST2APPLY 2 class logistic regression: compute posterior prob of class 1
+% function p = logist2Apply(beta, x)
+%
+% x(:,i) - each COLUMN is a test case; we append 1s automatically, if appropriate
+
+[D Ncases] = size(x);
+if length(beta)==D+1
+  F = [x; ones(1,Ncases)];
+else
+  F = x;
+end
+p = 1./(1+exp(-beta(:)'*F));