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ib: Bias Correction via Iterative Bootstrap

An implementation of the iterative bootstrap procedure of Kuk (1995) <doi:10.1111/j.2517-6161.1995.tb02035.x> to correct the estimation bias of a fitted model object. This procedure has better bias correction properties than the bootstrap bias correction technique.

Version: 0.2.0
Depends: R (≥ 4.0.0)
Imports: betareg, lme4, Formula, MASS, Matrix, methods, Rdpack (≥ 0.7), stats, utils, VGAM
Suggests: testthat (≥ 3.0.0), knitr, nlraa, rmarkdown
Published: 2022-04-04
Author: Samuel Orso [aut, cre], Stéphane Guerrier [ctb], Yuming Zhang [ctb]
Maintainer: Samuel Orso <Samuel.Orso at unige.ch>
BugReports: https://github.com/SMAC-Group/ib/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/SMAC-Group/ib/
NeedsCompilation: no
Materials: NEWS
CRAN checks: ib results

Documentation:

Reference manual: ib.pdf

Downloads:

Package source: ib_0.2.0.tar.gz
Windows binaries: r-devel: ib_0.2.0.zip, r-release: ib_0.2.0.zip, r-oldrel: ib_0.2.0.zip
macOS binaries: r-release (arm64): ib_0.2.0.tgz, r-oldrel (arm64): ib_0.2.0.tgz, r-release (x86_64): ib_0.2.0.tgz, r-oldrel (x86_64): ib_0.2.0.tgz
Old sources: ib archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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