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FRB  

Fast and Robust Bootstrap
View on CRAN: Click here


Download and install FRB package within the R console
Install from CRAN:
install.packages("FRB")

Install from Github:
library("remotes")
install_github("cran/FRB")

Install by package version:
library("remotes")
install_version("FRB", "2.0-1")



Attach the package and use:
library("FRB")
Maintained by
Valentin Todorov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-05-13
Latest Update: 2024-10-07
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.
How to cite:
Valentin Todorov (2009). FRB: Fast and Robust Bootstrap. R package version 2.0-1, https://cran.r-project.org/web/packages/FRB. Accessed 12 Sep. 2026.
Previous versions and publish date:
1.4 (2009-05-13 21:16), 1.6 (2009-09-18 22:15), 1.7 (2012-10-29 08:57), 1.8 (2013-04-16 12:42), (2026-07-09 08:03)
Other packages that cited FRB R package
View FRB citation profile
Other R packages that FRB depends, imports, suggests or enhances
Complete documentation for FRB
Functions, R codes and Examples using the FRB R package
Full FRB package functions and examples
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