o	check spearman_test vs. cor.test

o	formula interface + NA's and weights

o	definition of two-sided p-values in ansari.test contradicts the one
        used here in some cases (-> regtest_2samples.R)

o	confint() after contrast_test:	how to check if ranks were used???
	labels of `contrMat' and direction of differences don't match

o	check storage.mode of all vars going into C code (MC)

o	add wilcoxon-gehan scores, check logrank scores!

o	check if trend test for clustered data are part of the framework

o	maximally selected McNemar statistics -> Betensky, Biometrics, 2000

o	visualize deviations from H_0 for all problems (in a way
	motivated by shaded mosaicplots)

o	mh_test with weights

o	free W1 and W2 in `vandeWiel.c' in case of an error

o	enable confidence intervals in the presence of blocks or weights

o	check whats happening here

	d <- data.frame(y = rnorm(20), x = gl(2, 10))
	d$y[d$x == "1"] <- d$y[d$x == "1"] * 2

	wt <- ansari_test(y ~ x, data = d, di = "ex", conf.int = TRUE)
	pvalue(wt)

	confint(wt, level = 1 - pvalue(wt))  

o	Kurt: distribution argument may be character, function or object
	(including parameters such as B or maxabs)

o	Kurt: trafo as family of transformations (see glm(..., family,...)