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>
Repository: CRAN
NeedsCompilation: no
Author: Ella Roelant [aut],
  Stefan Van Aelst [aut],
  Gert Willems [aut],
  Valentin Todorov [cre] (<https://orcid.org/0000-0003-4215-0245>)
Packaged: 2024-10-05 20:01:31 UTC; valen
Date/Publication: 2024-10-07 12:20:11 UTC
Built: R 4.6.0; ; 2026-04-27 16:57:23 UTC; unix
