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, 15 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/subv2indTest.m b/sourcecodes/bnt-master/KPMtools/subv2indTest.m
new file mode 100644
index 00000000..e64ab947
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/subv2indTest.m
@@ -0,0 +1,15 @@
+function ndx = subv2indTest(siz,sub)
+%SUBV2IND   Linear index from subscript vector.
+% SUBV2IND(SIZ,SUB) returns an equivalent single index corresponding to a
+% subscript vector for an array of size SIZ.
+% If SUB is a matrix, with subscript vectors as rows, then the result is a 
+% column vector.
+%
+% This is the opposite of IND2SUBV, so that
+%   SUBV2IND(SIZ,IND2SUBV(SIZ,IND)) == IND.
+%
+% See also IND2SUBV, SUB2IND.
+
+ndx = subv2indMinka(siz,sub);
+ndx2 = subv2indKPM(siz,sub);
+assert(isequalKPM(ndx,ndx2))