Hi,
I am a new, naive user who needs to use one of lmrob (package robustbase) or lmRob (package robust) to do many robust regressions to small datasets (N~50 points). Is there any recommendation as to which one I should use or would find easier to use (better default options, more documentation etc) ? Or are they more or less similar ? I saw the Robust taskview, but the explicit comparison of the 2 packages there seems quite dated, so I thought I would ask here. Thank you very much for your work on the packages and for your help, Suresh _______________________________________________ R-SIG-Robust@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-robust
