SIGNRANK - Wilcoxon signed-rank test
     The Wilcoxon signed-rank test is a non-parametric statistical hypothesis
     test used to compare two related samples whether their population median
     ranks differ [1-4]. SIGNRANK treads NaNs as "Missing values" and ignores these.
     The current implementation has been validated against wilcox.test of R (v4.0.4).

 pval = signrank(X,m [, ...])
	tests Null-hypothesis that median of x is m.
       size(m,DIM) must be one, all other dimensions must match those of X
 pval = signrank(x,y [, ...])
 	size of x and size of y must match, it is tested whether the
	difference x-y is significantly different to m=0;
 pval = signrank(x,y,alpha)
 pval = signrank(x,y,alpha,tail)
 pval = signrank(x,y,alpha,tail,DIM)
 [pval,H,stats] = signrank(...)

     H=1 indicates a rejection of the Null-hypothesis at a significance
     level of alpha (default alpha = 0.05).

     With the optional argument string TAIL, the alternative of interest
     can be selected.  If TAIL is '!=' or '<>' or 'both', the null is tested
     against the two-sided Alternative `mean (X) ~= mean (Y)'.  If TAIL
     is '>' or 'right', the one-sided Alternative `mean (X) > mean (Y)' is used.
     Similarly for '<' or 'left', the one-sided Alternative `mean (X) < mean
     (Y)' is used.  The default is the two-sided case.

     H returns whether the Null-Hypotheses must be rejected.
     The p-value of the test is returned in PVAL.

     signrank works on the first non-singleton dimension of X and Y, or on DIM.

     If no output argument is given, the p-value of the test is
     displayed.

 Reference(s):
 [1] Glenn A Walker, (2002)
     Common Statistical Methods for Clinical Research (with SAS examples), 2nd edition
     Chapter 12 The Wilcoxon Signed-Rank Test.
 [2] https://en.wikipedia.org/wiki/Wilcoxon_signed-rank_test
 [3] https://math.stackexchange.com/questions/1414794/wilcoxon-signed-rank-test
 [4] https://de.wikipedia.org/wiki/Wilcoxon-Vorzeichen-Rang-Test

Package: nan