Uses of Class
com.irurueta.numerical.robust.MSACRobustEstimator.MSACInliersData

Packages that use MSACRobustEstimator.MSACInliersData

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 MSACRobustEstimator.MSACInliersData in com.irurueta.numerical.robust

Fields in com.irurueta.numerical.robust declared as MSACRobustEstimator.MSACInliersData

Modifier and Type	Field	Description
private MSACRobustEstimator.MSACInliersData	MSACRobustEstimator.bestNumberInliersData	Data related to solution producing the largest number of inliers.
private MSACRobustEstimator.MSACInliersData	MSACRobustEstimator.bestResultInliersData	Data related to inliers found for best result.

Methods in com.irurueta.numerical.robust that return MSACRobustEstimator.MSACInliersData

Modifier and Type	Method	Description
MSACRobustEstimator.MSACInliersData	MSACRobustEstimator.getBestNumberInliersData()	Returns data related to solution producing the largest number of inliers.
MSACRobustEstimator.MSACInliersData	MSACRobustEstimator.getBestResultInliersData()	Returns data related to the best inliers found for best result.

Methods in com.irurueta.numerical.robust with parameters of type MSACRobustEstimator.MSACInliersData

Modifier and Type	Method	Description
private static <T> void	MSACRobustEstimator.computeInliers(T iterResult, double threshold, double[] residualsTemp, LMedSRobustEstimatorListener<T> listener, com.irurueta.sorting.Sorter<Double> sorter, MSACRobustEstimator.MSACInliersData inliersData)	Computes inliers data for current iteration.