New robust regression estimators promise more accurate predictions for all.
The article introduces a new tool called robreg10 that helps in analyzing data using different robust estimators for linear regression models. These estimators can handle outliers and errors in the data more effectively than traditional methods. The tool includes options like MM-estimator, Huber M-estimator, and S-estimator, each with its own strengths. It also supports classic or robust standard errors. Additionally, it provides basic versions of LMS/LQS and LTS estimators. To use this tool, you need to have the moremata package installed. A newer version of this tool, called -robreg-, is also available for use.
