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+4 0CHANGELOG.txt

+3 3README.md

+45 0code/H_I_D_A_C/base_estimators/IdCor_estimation.m

+30 0code/H_I_D_A_C/base_estimators/IdCor_initialization.m

+41 0code/H_I_D_A_C/base_estimators/IdCov_estimation.m

+30 0code/H_I_D_A_C/base_estimators/IdCov_initialization.m

+25 0code/H_I_D_A_C/utilities/compute_dCov_dCor_statistics.m

+2 1code/ITE_install.m
README.md
 `entropy (H)`: Shannon entropy, R�nyi entropy, Tsallis entropy (Havrda and Charv�t entropy), complex entropy,
 `mutual information (I)`: generalized variance, kernel canonical correlation analysis, kernel generalized variance, HilbertSchmidt independence criterion, Shannon mutual information, L2 mutual information, R�nyi mutual information, Tsallis mutual information, copulabased kernel dependency, multivariate version of Hoeffding's Phi, SchweizerWolff's sigma and kappa, complex mutual information, CauchySchwartz quadratic mutual information, Euclidean distance based quadratic mutual information,
+ `mutual information (I)`: generalized variance, kernel canonical correlation analysis, kernel generalized variance, HilbertSchmidt independence criterion, Shannon mutual information, L2 mutual information, R�nyi mutual information, Tsallis mutual information, copulabased kernel dependency, multivariate version of Hoeffding's Phi, SchweizerWolff's sigma and kappa, complex mutual information, CauchySchwartz quadratic mutual information, Euclidean distance based quadratic mutual information, distance covariance, distance correlation,
 `divergence (D)`: KullbackLeibler divergence (relative entropy), L2 divergence, R�nyi divergence, Tsallis divergence, Hellinger distance, Bhattacharyya distance, maximum mean discrepancy (kernel distance, an integral probability metric), Jdistance (symmetrised KullbackLeibler divergence), CauchySchwartz divergence, Euclidean distance based divergence,
 `association measures (A)`, including `measures of concordance`: multivariate extensions of Spearman's rho (Spearman's rank correlation coefficient, grade correlation coefficient),
 code: [zip](https://bitbucket.org/szzoli/ite/downloads/ITE0.24_code.zip), [tar.bz2](https://bitbucket.org/szzoli/ite/downloads/ITE0.24_code.tar.bz2),
+ code: [zip](https://bitbucket.org/szzoli/ite/downloads/ITE0.25_code.zip), [tar.bz2](https://bitbucket.org/szzoli/ite/downloads/ITE0.25_code.tar.bz2),
code/H_I_D_A_C/base_estimators/IdCor_estimation.m
+%We use the naming convention 'I<name>_estimation' to ease embedding new mutual information estimation methods.
+% Gabor J. Szekely and Maria L. Rizzo and. Brownian distance covariance. The Annals of Applied Statistics, 3:12361265, 2009.
+% Gabor J. Szekely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35:27692794, 2007.
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/base_estimators/IdCor_initialization.m
+%Initialization of the distance correlation estimator. The estimation is based on pairwise distances of the sample points.
+% 2)We use the naming convention 'I<name>_initialization' to ease embedding new mutual information estimation methods.
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/base_estimators/IdCov_estimation.m
+%We use the naming convention 'I<name>_estimation' to ease embedding new mutual information estimation methods.
+% Gabor J. Szekely and Maria L. Rizzo and. Brownian distance covariance. The Annals of Applied Statistics, 3:12361265, 2009.
+% Gabor J. Szekely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35:27692794, 2007.
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/base_estimators/IdCov_initialization.m
+%Initialization of the distance covariance estimator. The estimation is based on pairwise distances of the sample points.
+% 2)We use the naming convention 'I<name>_initialization' to ease embedding new mutual information estimation methods.
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/H_I_D_A_C/utilities/compute_dCov_dCor_statistics.m
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
+%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
+%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
+%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.
code/ITE_install.m
+ %[FN,status] = urlwrite('http://www.gps.caltech.edu/~tapio/arfit/arfit.zip','arfit.zip');%this webpage seems to unavailable temporarily
+ [FN,status] = urlwrite('http://www.mathworks.com/matlabcentral/fileexchange/174arfit?download=true','arfit.zip');
CHANGELOG.txt