Iterative Bias Reduction
0packages dependsuggested by 1
6.5Kdownloads / year
–test coverage
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Overview
About
Maintained by Pierre-Andre CornillonCRAN page ↗
Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.
Install
Health
CRAN checks
13OK
Slowest check: 3.0 min · r-devel-windows-x86_64
Status changes
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Advisories
Documentation
In release 2.4-2
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
- Help pages
- 46includes a package overview page
- Examples that run
- 36%5 run in a plain check · 9 never run
- Exported functions with examples
- 50%
- Documented parameters
- 88%
- Return-value docs
- 100%
- Help pages citing references
- 85%
Downloads
6.5K
CRAN downloads in the past year
Rank #6,597 · ~18/day · ~539/mo
Daily download trend is not available in this view yet.
51830 days
1.3K90 days
6.5K1 year
Also on386 r2u4 autocran
Dependencies
Declared dependencies
0 external dependencies (excludes base and recommended)
Installing ibr adds no packages beyond those that come with R.
Depends (2)
R >= 2.11.1mgcv
Imports (2)
statsgraphics
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first
Code & Tests
Datasets
People & History
People (3)
Author, Maintainer since 1.2 (2009)
Author
Author
Releases (19)
Pick two releases to compare their code metrics.
- 2.4-2Latest
- 2.4-12026-05-11 · diff ↗
- 2.4-02026-05-03 · diff ↗ ·
removed 34 exports
betaA, betaS1, betaS1lr, calcA, critAaic, critAaicc, critAbic, critAgcv, critAgmdl, critS1aic, critS1aicc, critS1bic, critS1gcv, critS1gmdl, epane, fittedA, fittedS1, fittedS1lr, gaussien, iterchoiceA, iterchoiceAcv, iterchoiceAcve, iterchoiceAe, iterchoiceS1, iterchoiceS1cv, iterchoiceS1cve, iterchoiceS1e, iterchoiceS1lrcv, iterchoiceS1lrcve, poids and 4 moreadded 1 export
kernelKx - RR 4.6.0 released · 2026-04-24
- 2.0-52025-09-12 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0-42023-09-13 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 2.0-32017-05-01 · diff ↗
- RR 3.4.0 released · 2017-04-21
Show 23 earlier eventsHide 23 earlier events
- RR 3.3.0 released · 2016-05-03
- 2.0-22016-01-26 · diff ↗
- 2.0-02015-10-19 · diff ↗ ·
removed 4 exports
npregression, predict.npregression, print.summary.npregression, summary.npregressionadded 16 exports
AIC.ibr, betaS1lr, BIC.ibr, fittedS1lr, ibr.fit, iterchoiceS1lrcv, iterchoiceS1lrcve, lambdachoicelr, lrsmoother, npregress, predict.npregress, print.ibr, print.npregress, print.summary.npregress, residuals.ibr, summary.npregress - RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.4.52013-09-02 · diff ↗
- 1.4.3
- RR 3.0.0 released · 2013-04-03
- 1.4.22012-10-16 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 1.4.12012-03-05 · diff ↗
- 1.4.02011-12-06 · diff ↗ ·
removed 2 exports
tpssmoother, tpsSxadded 4 exports
dssmoother, dsSx, DuchonQ, DuchonS - RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- 1.3.2
- 1.3.12011-01-06 · diff ↗
- 1.3.02010-12-22 · diff ↗ ·
added 4 exports
npregression, predict.npregression, print.summary.npregression, summary.npregression - RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- 1.2.22010-04-03 · diff ↗
- 1.2.12010-03-10 · diff ↗
- 1.22009-11-16
- RR 2.10.0 released · 2009-10-26
0 of 2 selectedCompare selected
Package metadata
- First published
- 2009-11-16
- Total releases
- 19 / 17 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.11.1
- Bundled data
- 5.1 KB / 1 file
- Download size
- 63 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("ibr")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v077.i09.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.