BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 35 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/nchoose2.m b/sourcecodes/bnt-master/KPMtools/nchoose2.m
new file mode 100644
index 00000000..1827d053
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/nchoose2.m
@@ -0,0 +1,35 @@
+function c = nchoose2(v, f)
+%NCHOOSE2 All combinations of N elements taken two at a time.
+%
+%   NCHOOSE2(1:N) or NCHOOSEK(V) where V is a vector of length N,
+%   produces a matrix with N*(N-1)/2 rows and K columns. Each row of
+%   the result has K of the elements in the vector V.
+%
+%   NCHOOSE2(N,FLAG) is the same as NCHOOSE2(1:N) but faster.
+%
+%   NCHOOSE2(V) is much faster than NCHOOSEK(V,2).
+%
+%   See also NCHOOSEK, PERMS.
+
+%   Author:      Peter J. Acklam
+%   Time-stamp:  2000-03-03 13:03:59
+%   E-mail:      jacklam@math.uio.no
+%   URL:         http://www.math.uio.no/~jacklam
+
+   nargs = nargin;
+   if nargs < 1
+      error('Not enough input arguments.');
+   elseif nargs == 1
+      v = v(:);
+      n = length(v);
+   elseif nargs == 2
+      n = v;
+   else
+      error('Too many input arguments.');
+   end
+
+   [ c(:,2), c(:,1) ] = find( tril( ones(n), -1 ) );
+
+   if nargs == 1
+      c = v(c);
+   end