Package: FRB
Version: 2.0-1
VersionNote: Archived on CRAN 2013-04-16
Title: Fast and Robust Bootstrap
Authors@R: c(person(" Ella", "Roelant", role = "aut")
         , person(" Stefan", "Van Aelst", role = "aut")
         , person("Gert", "Willems", role = "aut")
         , person("Valentin", "Todorov", role = c("cre"), email = "valentin.todorov@chello.at", comment=c(ORCID = "0000-0003-4215-0245")) )
Depends: R (>= 2.10)
Imports: rrcov, corpcor
Suggests: robustbase
Description: 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.
License: GPL (>= 3)
Maintainer: Valentin Todorov <valentin.todorov@chello.at>
NeedsCompilation: no
Author: Ella Roelant [aut], Stefan Van Aelst [aut], Gert Willems [aut],
        Valentin Todorov [cre]
        (<https://orcid.org/0000-0003-4215-0245>)
Packaged: 2026-06-13 06:33:37 UTC; root
Repository: https://valentint.r-universe.dev
Date/Publication: 2024-10-08 03:02:10 UTC
RemoteUrl: https://github.com/cran/FRB
RemoteRef: HEAD
RemoteSha: d335deef42db26edf25871acb9afd1e4071315a1