OutlierDetection: Detect outliers by the method of Motulsky and Brown (2006).
In ahwbest/DR4PL: Dose Response Data Analysis using the 4 Parameter Logistic (4PL) Model

Description Usage Arguments Details Value Author(s) References

Detect outliers by the method of Motulsky and Brown (2006).

1	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

\insertRef

Motulsky2006dr4pl

ahwbest/DR4PL documentation built on May 20, 2019, 6:43 p.m.