P_ceq                   Probability of observing the ith nearest
                        neighbour at the same distance or larger as the
                        (i-1)th nearest neighbour
P_cge_aeq               Probability of observing the ith nearest
                        neighbour at a distance greater or equal to c
                        and the (i-1)th nearest neighbour was observed
                        at distance a
P_cge_ale               Probability of observing the ith nearest
                        neighbour at a distance greater or equal to c
                        and the (i-1)th nearest neighbour was observed
                        at distance smaller or equal a
P_di                    Probability distribution of the distance to the
                        ith nearest neighbour
Pc_givena               Probability of observing the ith nearest
                        neighbour at distance greater or equal c given
                        the (i-1)th nearest neighbour at distance a
Pc_givena4nn            Probability of observing the ith nearest
                        neighbour at distance greater or equal c given
                        the 4 previous nearest neighbours
benchmark.patchwork.copula
                        Benchmark function for a new type of
                        non-functional dependence
calculate.power         Calculate power at a given significance level
generate.benchmark.data
                        Generating functional dependencies
generate.patchwork.copula
                        Generate data from a non-functional dependence
generate.paths          Generate all nearest neighbours distances for
                        one point in a sample
generate.roc            Generate ROC curve data
knnIndep-package        A package giving the formulas of an exact
                        distribution of ith nearest neighbours and two
                        associated tests for independence
novelTest.chisq         A novel test of independence
novelTest.extreme       A novel test of independence
optimise.copula.mi      optimize the parameter 'c' of
                        'generate.patchwork.copula'
parameters              Central probabilty
power.plot              Plot power of benchmarked tests of independence
roc.plot                Plot a ROC
run.tests               Run several tests of independence on a
                        benchmark of different functional relationships
