Detect outliers by the method of Motulsky and Brown (2006).
Detect outliers by the method of Motulsky and Brown (2006).
OutlierDetection(residuals)
residuals |
Vector of residuals from a robust fit. |
This function detects outliers from a vector of residuals obtained from a robust fit. The method used here is the same with Motulsky and Brown (2006) except that the median absolute deviation is used instead of the sample quantile based estimator suggested in that paper. Based on the False Discovery Rate (FDR) a set of multiple outliers that have lower FDR's than a threshold are reported.
Vector of indices of outliers in the input vector of residuals
Hyowon An
Motulsky HJ, Brown RE (2006). “Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false discovery rate.” BMC Bioinformatics, 7, 123.
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