| estimate() |   | 97% | | 100% | 0 | 9 | 2 | 45 | 0 | 1 |
| getPhysicalCovariances(double) | | 94% | | 100% | 0 | 6 | 2 | 19 | 0 | 1 |
| BatchLSEstimator(LeastSquaresOptimizer, PropagatorBuilder[]) | | 100% | | n/a | 0 | 1 | 0 | 12 | 0 | 1 |
| getMeasurementsParametersDrivers(boolean) | | 100% | | 100% | 0 | 5 | 0 | 9 | 0 | 1 |
| fillStartArray(double[], ParameterDriversList, int) | | 100% | | 100% | 0 | 2 | 0 | 5 | 0 | 1 |
| lambda$estimate$2(EstimatedMeasurement) | | 100% | | 75% | 1 | 3 | 0 | 2 | 0 | 1 |
| lambda$setParametersConvergenceThreshold$0(double, int, LeastSquaresProblem.Evaluation, LeastSquaresProblem.Evaluation) | | 100% | | 100% | 0 | 2 | 0 | 1 | 0 | 1 |
| lambda$estimate$1(Orbit[], Map) | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
| addMeasurement(ObservedMeasurement) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| setMaxIterations(int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| setMaxEvaluations(int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| getPropagatorBuilders() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| setParametersConvergenceThreshold(double) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| setObserver(BatchLSObserver) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| setConvergenceChecker(ConvergenceChecker) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| getLastEstimations() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getIterationsCount() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getEvaluationsCount() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| lambda$estimate$3(EstimatedMeasurement) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getOptimum() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |