Uses of Class
com.irurueta.numerical.robust.PROMedSRobustEstimator.PROMedSInliersData

Packages that use PROMedSRobustEstimator.PROMedSInliersData

Package	Description
com.irurueta.numerical.robust	This package contains robust estimators that can be used to discard outliers for cases where a model of the data is known (i.e.

Uses of PROMedSRobustEstimator.PROMedSInliersData in com.irurueta.numerical.robust

Fields in com.irurueta.numerical.robust declared as PROMedSRobustEstimator.PROMedSInliersData

Modifier and Type	Field	Description
private PROMedSRobustEstimator.PROMedSInliersData	PROMedSRobustEstimator.bestInliersData	Data related to inliers found for best result.

Methods in com.irurueta.numerical.robust that return PROMedSRobustEstimator.PROMedSInliersData

Modifier and Type	Method	Description
(package private) PROMedSRobustEstimator.PROMedSInliersData	PROMedSRobustEstimator.PROMedSInliersData.createCopy()	Creates a copy of inlier data.
protected PROMedSRobustEstimator.PROMedSInliersData	PROMedSRobustEstimator.getBestInliersData()	Returns data related to inliers found for best result.

Methods in com.irurueta.numerical.robust with parameters of type PROMedSRobustEstimator.PROMedSInliersData

Modifier and Type	Method	Description
private static <T> void	PROMedSRobustEstimator.computeInliers(T iterResult, int subsetSize, double inlierFactor, boolean useInlierThresholds, double inlierThreshold, double[] residualsTemp, LMedSRobustEstimatorListener<T> listener, com.irurueta.sorting.Sorter<Double> sorter, PROMedSRobustEstimator.PROMedSInliersData inliersData)	Computes inliers data for current iteration.
private void	PROMedSRobustEstimator.keepInliersData(PROMedSRobustEstimator.PROMedSInliersData inliersData, int totalSamples)	Keeps inliers data stored and initializes a new one with proper initial values.