Package: FRB 2.0-1
Valentin Todorov
FRB: Fast and Robust Bootstrap
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.
Authors:
FRB_2.0-1.tar.gz
FRB_2.0-1.tar.gz(r-4.5-noble)FRB_2.0-1.tar.gz(r-4.4-noble)
FRB_2.0-1.tgz(r-4.4-emscripten)FRB_2.0-1.tgz(r-4.3-emscripten)
FRB.pdf |FRB.html✨
FRB/json (API)
NEWS
| # Install 'FRB' in R: |
| install.packages('FRB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- ForgedBankNotes - Swiss (forged) bank notes data
- schooldata - School Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:d335deef42. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux | OK | Dec 07 2024 |
Exports:diagplotFRBhotellingMMFRBhotellingSFRBmultiregGSFRBmultiregMMFRBmultiregSFRBpcaMMFRBpcaSGSboot_multiregGScontrolGSest_multiregMMboot_loccovMMboot_multiregMMboot_twosampleMMcontrolMMest_loccovMMest_multiregMMest_twosampleplotFRBanglesplotFRBloadingsplotFRBvarsSboot_loccovSboot_multiregSboot_twosampleScontrolSest_loccovSest_multiregSest_twosample
Dependencies:corpcorDEoptimRlatticemvtnormpcaPProbustbaserrcov
