pairwiseCcop(u, cop, ...)
pairwiseIndepTest(cu.u, N=256,
iTest = indepTestSim(n, p=2, m=2, N=N, verbose = idT.verbose, ...),
verbose=TRUE, idT.verbose = verbose, ...) pviTest(piTest)
gpviTest(pvalues, method=p.adjust.methods, globalFun=min)
matrix of copula data.pairwiseCcop()).
Can be used to pass, for example, the degrees of freedom
parameter df for t-copulas. For pai
array as returned by
pairwiseCcop().indepTestSim().indepTestSim();
as it does not depend on the data, and is costly to compute,
it can be computed separately and passed here.verbose argument to
indepTestSim().matrix of indepTest
objects as returned by pairwiseIndepTest().matrix of p-values.character vector of adjustment methods for
p-values; see p.adjust.methods for more details.function determining how to compute a
global p-value from a matrix of pairwise adjusted p-values.pairsRosenblatt.pairsRosenblatt for where these tools are used, including
demo(gof_graph) for examples.