Fast and Robust Bootstrap
Plot Method for Objects of class 'FRBmultireg'
Robust Hotelling test using the MM-estimator
Robust Hotelling test using the S-estimator
GS-Estimates for multivariate regression with bootstrap confidence int...
MM-Estimates for Multivariate Regression with Bootstrap Inference
S-Estimates for Multivariate Regression with Bootstrap Inference
PCA based on Multivariate MM-estimators with Fast and Robust Bootstrap
PCA based on Multivariate S-estimators with Fast and Robust Bootstrap
Fast and Robust Bootstrap for GS-Estimates
GS Estimates for Multivariate Regression
Fast and Robust Bootstrap for MM-estimates of Location and Covariance
Fast and Robust Bootstrap for MM-Estimates of Multivariate Regression
Fast and Robust Bootstrap for Two-Sample MM-estimates of Location and ...
S- and MM-Estimates of multivariate location and covariance matrix
MM-Estimates for Multivariate Regression
Plot Method for Objects of class 'FRBhot'
Plot Method for Objects of class 'FRBmultireg'
Plot Method for Objects of class 'FRBpca'
Fast and Robust Bootstrap for S-estimates of location/covariance
Fast and Robust Bootstrap for S-Estimates of Multivariate Regression
Fast and Robust Bootstrap for Two-Sample S-estimates of Location and C...
Tuning parameters for multivariate S, MM and GS estimates
S-Estimates for Multivariate Regression
Summary Method for Objects of Class 'FRBhot'
Summary Method for Objects of Class 'FRBmultireg'
Summary Method for Objects of Class 'FRBpca'
Perform robust inference based on applying Fast and Robust Bootstrap on robust estimators (Van Aelst and Willems (2013) <doi:10.18637/jss.v053.i03>). This method constitutes an alternative to ordinary bootstrap or asymptotic inference. procedures when using robust estimators such as S-, MM- or GS-estimators. The available methods are multivariate regression, principal component analysis and one-sample and two-sample Hotelling tests. It provides both the robust point estimates and uncertainty measures based on the fast and robust bootstrap.