Code for the regression outlier identification methods discussed in Ali S. Hadi and Jeffrey S. Simonoff, "Procedures for the identification of multiple outliers in linear models," Journal of the American Statistical Association, 88, 1264-1272.

  • S-PLUS code for Method 1
  • S-PLUS code for Method 2

  • S-PLUS code for the regression outlier identification method discussed in Ali S. Hadi and Jeffrey S. Simonoff, "A more robust outlier identifier for regression data," Bulletin of the International Statistical Institute, 281-282 (1997), can be obtained here. This code is a simple modification of Method 1 above designed to be more robust.


    S-PLUS code for the regression outlier identification method discussed in Ali S. Hadi and Jeffrey S. Simonoff, "Improving the estimation and outlier identification properties of the least median of squares and minimum volume ellipsoid estimators," Parisankhyan Samikkha, 1, 61-70 (1994), can be obtained here. This method combines robust estimation using least median of squares or least trimmed squares with outlier identification.