| getEvolution(double, RealVector[], MeasurementDecorator) |   | 97% | | 96% | 1 | 14 | 1 | 51 | 0 | 1 |
| UnscentedKalmanModel(List, List, ParameterDriversList, CovarianceMatrixProvider) | | 99% | | 92% | 5 | 34 | 0 | 120 | 0 | 1 |
| getInnovation(MeasurementDecorator, RealVector, RealVector, RealMatrix) | | 100% | | 100% | 0 | 2 | 0 | 11 | 0 | 1 |
| finalizeEstimation(ObservedMeasurement, ProcessEstimate) | | 100% | | 100% | 0 | 2 | 0 | 11 | 0 | 1 |
| getPhysicalEstimatedState() | | 100% | | 100% | 0 | 4 | 0 | 12 | 0 | 1 |
| predictStates(RealVector[], int) | | 100% | | 100% | 0 | 2 | 0 | 8 | 0 | 1 |
| createPropagator(double[], int) | | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
| getEstimatedPropagators() | | 100% | | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
| getPredictedSpacecraftStates() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getCorrectedSpacecraftStates() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getPhysicalEstimatedCovarianceMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getPhysicalInnovationCovarianceMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getPhysicalKalmanGain() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getEstimate() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getEstimatedOrbitalParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getEstimatedPropagationParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getEstimatedMeasurementsParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getCurrentMeasurementNumber() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getCurrentDate() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getPredictedMeasurement() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getCorrectedMeasurement() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getPhysicalStateTransitionMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getPhysicalMeasurementJacobian() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| lambda$predictStates$0(List) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |