Fast and Robust Bootstrap R package FRB version 2.0-1 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. Software Depends: R (>= 2.10) Imports: rrcov, corpcor Suggests: robustbase Valentin Todorov <valentin.todorov@chello.at> Comprehensive R Archive Network (CRAN) Ella Roelant [aut], Stefan Van Aelst [aut], Gert Willems [aut], Valentin Todorov [cre] (ORCID: <https://orcid.org/0000-0003-4215-0245>) GPL (>= 3) 2024-10-07 application/tgz https://CRAN.R-project.org/package=FRB doi:10.32614/CRAN.package.FRB