| 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 |