.
+
+%mandatory fields:
+ co.name = 'Spearman_lt';
+ co.mult = mult;
+
+%other fields:
+ co.p = 1/2; %0_estimation' to ease embedding new association measure estimator methods.
+% 2)This is a meta method: the conditional Spearman's rho estimator (of lower tail) can be arbitrary.
+%
+%REFERENCE:
+% Friedrich Schmid and Rafael Schmidt. Multivariate conditional versions of Spearman's rho and related measures of tail dependence. Journal of Multivariate Analysis, 98:1123-1140, 2007.
+% C. Spearman. The proof and measurement of association between two things. The American Journal of Psychology, 15:72-101, 1904.
+%
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%
+%This file is part of the ITE (Information Theoretical Estimators) Matlab/Octave toolbox.
+%
+%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 .
+
+%co.mult:OK.
+
+%verification:
+ if sum(ds) ~= size(Y,1);
+ error('The subspace dimensions are not compatible with Y.');
+ end
+ if ~one_dimensional_problem(ds)
+ error('The subspaces must be one-dimensional for this estimator.');
+ end
+
+%p:
+ num_of_samples = size(Y,2);
+ k = floor(sqrt(num_of_samples));
+ co.member_co.p = k/num_of_samples; %set p
+
+A = A_estimation(Y,ds,co.member_co);
+
diff --git a/code/H_I_D_A_C/meta_estimators/ASpearman_L_initialization.m b/code/H_I_D_A_C/meta_estimators/ASpearman_L_initialization.m
new file mode 100644
--- /dev/null
+++ b/code/H_I_D_A_C/meta_estimators/ASpearman_L_initialization.m
@@ -0,0 +1,32 @@
+function [co] = ASpearman_L_initialization(mult)
+%Initialization of the lower tail dependence estimator based on the conditional Spearman's rho.
+%
+%Note:
+% 1)The estimator is treated as a cost object (co).
+% 2)We use the naming convention 'A_initialization' to ease embedding new association measure estimator methods.
+%
+%INPUT:
+% mult: is a multiplicative constant relevant (needed) in the estimation; '=1' means yes, '=0' no.
+%OUTPUT:
+% co: cost object (structure).
+%
+%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
+%
+%This file is part of the ITE (Information Theoretical Estimators) Matlab/Octave toolbox.
+%
+%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 .
+
+%mandatory fields:
+ co.name = 'Spearman_L';
+ co.mult = mult;
+
+%other fields:
+ co.member_name = 'Spearman_lt'; %you can change it to any conditional Spearman's rho (of lower tail) estimator
+ co.member_co = A_initialization(co.member_name,mult);
+