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 |