| correct(Measurement, RealMatrix, RealMatrix, RealVector) |   | 89% | | 50% | 1 | 2 | 2 | 11 | 0 | 1 |
| getUnscentedTransformProvider() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| predictionAndCorrectionSteps(Measurement, RealVector[]) | | 98% | | 75% | 1 | 3 | 0 | 16 | 0 | 1 |
| computeInnovationCovarianceMatrix(RealVector[], RealVector, RealMatrix) | | 85% | | 50% | 1 | 2 | 1 | 4 | 0 | 1 |
| computeCrossCovarianceMatrix(RealVector[], RealVector, RealVector[], RealVector) | | 100% | | 100% | 0 | 2 | 0 | 8 | 0 | 1 |
| UnscentedKalmanFilter(MatrixDecomposer, UnscentedProcess, ProcessEstimate, UnscentedTransformProvider) | | 100% | | 100% | 0 | 2 | 0 | 12 | 0 | 1 |
| predict(double, RealVector[], RealMatrix) | | 100% | | n/a | 0 | 1 | 0 | 5 | 0 | 1 |
| getStateCrossCovariance() | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
| estimationStep(Measurement) | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
| setObserver(KalmanObserver) | | 100% | | n/a | 0 | 1 | 0 | 3 | 0 | 1 |
| getPredicted() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getCorrected() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |