link_covariates_to_nodes_hier_hmm_timesq.m

The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesi

function cov_nodes=link_covariates_to_nodes_hier_hmm_timesq(equiv_class,covariates_names,onames,B,D)
%specifies which covariates belong to which equivalence class of nodes



j=1;
for i=1:B*D
    if mod(i,B)~=1
        f1=eval(['strmatch(''Xsignal_',int2str(i),''',onames)']);
        f2=eval(['strmatch(''time_',int2str(i),''',covariates_names)']);
        f3=eval(['strmatch(''timesq_',int2str(i),''',covariates_names)']);
        cov_nodes{j,1}=equiv_class(f1(1));
        cov_nodes{j,2}=[f2(1) f3(1)];
        j=j+1;
    end
end