computeIntegralKolmogorovSmirnovStatistic(double[], double[], int[], long[]) |  | 100% |  | 100% | 0 | 20 | 0 | 56 | 0 | 1 |
twoSampleTwoSidedPStabilizedInner(long, int, int, int) |  | 100% |  | 100% | 0 | 9 | 0 | 27 | 0 | 1 |
twoSampleOneSidedPOutside(long, int, int, int) |  | 100% |  | 100% | 0 | 7 | 0 | 27 | 0 | 1 |
computeStatistic(double[], DoubleUnaryOperator, int[]) |  | 100% |  | 100% | 0 | 10 | 0 | 27 | 0 | 1 |
test(double[], double[]) |  | 100% |  | 100% | 0 | 8 | 0 | 24 | 0 | 1 |
testIntegralKolmogorovSmirnovStatistic(double[], double[], long, long) |  | 100% |  | 100% | 0 | 17 | 0 | 33 | 0 | 1 |
estimateP(double[], double[], long) |  | 100% |  | 100% | 0 | 11 | 0 | 23 | 0 | 1 |
twoSampleExactP(long, int, int, int, boolean, boolean) |  | 100% |  | 100% | 0 | 8 | 0 | 17 | 0 | 1 |
twoSampleTwoSidedPOutsideSquare(long, int) |  | 100% |  | 100% | 0 | 4 | 0 | 13 | 0 | 1 |
createSampler(double[], double[], UniformRandomProvider, int) |  | 100% |  | 100% | 0 | 2 | 0 | 14 | 0 | 1 |
twoSampleApproximateP(double, int, int, boolean) |  | 100% |  | 100% | 0 | 2 | 0 | 6 | 0 | 1 |
twoSampleOneSidedPOutsideSquare(long, int) |  | 100% |  | 100% | 0 | 4 | 0 | 10 | 0 | 1 |
test(double[], DoubleUnaryOperator) |  | 100% |  | 100% | 0 | 4 | 0 | 12 | 0 | 1 |
twoSampleP(long, int, int, int, double, boolean) |  | 100% |  | 100% | 0 | 5 | 0 | 6 | 0 | 1 |
statistic(double[], double[]) |  | 100% | | n/a | 0 | 1 | 0 | 4 | 0 | 1 |
sort(double[], String) |  | 100% |  | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
checkArrayLength(double[]) |  | 100% |  | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
with(Inequality) |  | 100% |  | 100% | 0 | 2 | 0 | 2 | 0 | 1 |
KolmogorovSmirnovTest(AlternativeHypothesis, PValueMethod, boolean, UniformRandomProvider, int) |  | 100% | | n/a | 0 | 1 | 0 | 7 | 0 | 1 |
computeD(long, int, int, int) |  | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
static {...} |  | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
with(AlternativeHypothesis) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
with(PValueMethod) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
with(UniformRandomProvider) |  | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
withIterations(int) |  | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
lambda$createSampler$2(UniformRandomProvider, int, int, IntToDoubleFunction[]) |  | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
statistic(double[], DoubleUnaryOperator) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
createSampler(double[], double[], UniformRandomProvider) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
lambda$createSampler$3(double[], UniformRandomProvider, int) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
lambda$createSampler$0(double[], int, int) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
binom(int, int) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
lambda$createSampler$1(double[], int) |  | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
withDefaults() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |