ibr: Iterative Bias Reduction
Version 2.0-3

Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.

AuthorPierre-Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober
Date of publication2017-05-01 21:23:16 UTC
Maintainer"Pierre-Andre Cornillon" <pierre-andre.cornillon@univ-rennes2.fr>
LicenseGPL (>= 2)
Version2.0-3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ibr")

Getting started

Package overview

Popular man pages

bwchoice: Choice of bandwidth achieving a prescribed effective degree...
calcA: Decomposition of the kernel smoother
dsSx: Evaluate the smoothing matrix at any point
iterchoiceA: Selection of the number of iterations for iterative bias...
kernel: Kernel evaluation
kernelSx: Evaluates the smoothing matrix at x*
npregress: Local polynomials smoothing
See all...

All man pages Function index File listing

Man pages

AIC.ibr: Summarizing iterative bias reduction fits
betaA: Calculates coefficients for iterative bias reduction...
betaS1: Coefficients for iterative bias reduction method.
betaS1lr: Coefficients for iterative bias reduction method.
BIC.ibr: Information Criterion for ibr
bwchoice: Choice of bandwidth achieving a prescribed effective degree...
calcA: Decomposition of the kernel smoother
cvobs: Selection of the number of iterations for iterative bias...
departnoyau: Trace of the product kernel smoother
dssmoother: Evaluate the smoothing matrix, the radial basis matrix, the...
dsSx: Evaluate the smoothing matrix at any point
DuchonQ: Computes the semi-kernel of Duchon splines
DuchonS: Computes the semi-kernel of Duchon splines
fittedA: Evaluates the fits for iterative bias reduction method
fittedS1: Evaluate the fit for iterative bias reduction model
fittedS1lr: Evaluate the fit for iterative bias reduction model
forward: Iterative bias reduction smoothing
ibr: Iterative bias reduction smoothing
ibr.fit: Iterative bias reduction smoothing
ibr-package: Iterative Bias Reduction
iterchoiceA: Selection of the number of iterations for iterative bias...
iterchoiceAcv: Selection of the number of iterations for iterative bias...
iterchoiceAcve: Selection of the number of iterations for iterative bias...
iterchoiceAe: Selection of the number of iterations for iterative bias...
iterchoiceS1: Number of iterations selection for iterative bias reduction...
iterchoiceS1cv: Selection of the number of iterations for iterative bias...
iterchoiceS1cve: Selection of the number of iterations for iterative bias...
iterchoiceS1e: Number of iterations selection for iterative bias reduction...
iterchoiceS1lrcv: Selection of the number of iterations for iterative bias...
iterchoiceS1lrcve: Selection of the number of iterations for iterative bias...
kernel: Kernel evaluation
kernelSx: Evaluates the smoothing matrix at x*
lambdachoice: Choice of bandwidth according to a given effective degree of...
lambdachoicelr: Choice of bandwidth according to a given effective degree of...
lrsmoother: Evaluate the lowrank spline
npregress: Local polynomials smoothing
ozone: Los Angeles ozone pollution data, 1976.
plot.forwardibr: Plot diagnostic for an ibr object
plot.ibr: Plot diagnostic for an ibr object
poids: Product kernel evaluation
predict.ibr: Predicted values using iterative bias reduction smoothers
predict.npregress: Predicted values using using local polynomials
print.summary.ibr: Printing iterative bias reduction summaries
print.summary.npregress: Printing iterative bias reduction summaries
summary.ibr: Summarizing iterative bias reduction fits
summary.npregress: Summarizing local polynomial fits
sumvalpr: Sum of a geometric series
tracekernel: Trace of product kernel smoother

Functions

AIC.ibr Man page Source code
AICc Man page Source code
AICc.ibr Man page Source code
BIC Man page
BIC.ibr Man page Source code
DuchonQ Man page Source code
DuchonS Man page Source code
GCV Man page Source code
GCV.ibr Man page Source code
betaA Man page Source code
betaS1 Man page Source code
betaS1lr Man page Source code
bwchoice Man page Source code
calcA Man page Source code
critAaic Man page Source code
critAaicc Man page Source code
critAbic Man page Source code
critAgcv Man page Source code
critAgmdl Man page Source code
critS1aic Man page Source code
critS1aicc Man page Source code
critS1bic Man page Source code
critS1gcv Man page Source code
critS1gmdl Man page Source code
cvobs Man page Source code
departnoyau Man page Source code
dsSx Man page Source code
dssmoother Man page Source code
epane Man page Source code
fittedA Man page Source code
fittedS1 Man page Source code
fittedS1lr Man page Source code
forward Man page Source code
forwardibr Man page
gaussien Man page Source code
ibr Man page Source code
ibr-package Man page
ibr.fit Man page Source code
iterchoiceA Man page Source code
iterchoiceAcv Man page Source code
iterchoiceAcve Man page Source code
iterchoiceAe Man page Source code
iterchoiceS1 Man page Source code
iterchoiceS1cv Man page Source code
iterchoiceS1cve Man page Source code
iterchoiceS1e Man page Source code
iterchoiceS1lrcv Man page Source code
iterchoiceS1lrcve Man page Source code
kernel Man page
kernelSx Man page Source code
lambdachoice Man page Source code
lambdachoicelr Man page Source code
lrsmoother Man page Source code
npregress Man page Source code
ozone Man page
plot.forwardibr Man page Source code
plot.ibr Man page Source code
poids Man page Source code
predict.ibr Man page Source code
predict.npregress Man page Source code
print.ibr Man page Source code
print.npregress Man page Source code
print.summary.ibr Man page Source code
print.summary.npregress Man page Source code
quartic Man page Source code
residuals.ibr Man page Source code
residuals.npregress Man page
summary.ibr Man page Source code
summary.npregress Man page Source code
sumvalpr Man page Source code
tracekernel Man page Source code
uniform Man page Source code

Files

inst
inst/CITATION
src
src/Makevars
src/polynomlocaux.c
src/ibr_init.c
src/dssplines.c
src/ibr.c
src/regression.c
NAMESPACE
data
data/ozone.rda
R
R/print.npregress.R
R/departnoyau.r
R/predict.ibr.R
R/lrsmoother.R
R/print.summary.ibr.R
R/bwchoice.R
R/residuals.ibr.R
R/forward.R
R/predict.npregress.R
R/iterchoiceAcve.R
R/AIC.ibr.R
R/fittedS1lr.R
R/dsSx.R
R/npregress.R
R/ibr.fit.R
R/iterchoiceS1lrcve.R
R/iterchoiceS1lrcv.R
R/betaS1lr.R
R/calcA.R
R/dssplines.R
R/dssmoother.R
R/plot.forwardibr.R
R/GCV.ibr.R
R/betaA.R
R/fittedA.R
R/summary.ibr.R
R/plot.ibr.R
R/print.ibr.R
R/iterchoiceAcv.R
R/summary.npregress.R
R/ibr.R
R/kernel.R
R/print.summary.npregress.R
R/iterchoiceS1cv.R
R/kernelSx.R
R/criteria.R
R/iterchoiceA.R
R/lambdachoicelr.R
R/fittedS1.R
R/iterchoiceS1cve.R
R/betaS1.R
R/iterchoiceS1.R
R/BIC.ibr.R
R/lambdachoice.R
MD5
README
DESCRIPTION
man
man/betaA.Rd
man/summary.ibr.Rd
man/iterchoiceS1.Rd
man/predict.npregress.Rd
man/betaS1lr.Rd
man/departnoyau.Rd
man/forward.Rd
man/npregress.Rd
man/iterchoiceS1e.Rd
man/iterchoiceAe.Rd
man/BIC.ibr.Rd
man/ibr-package.Rd
man/iterchoiceAcv.Rd
man/betaS1.Rd
man/kernel.Rd
man/dsSx.Rd
man/ibr.fit.Rd
man/lambdachoicelr.Rd
man/iterchoiceS1cv.Rd
man/fittedA.Rd
man/iterchoiceS1lrcve.Rd
man/ibr.Rd
man/dssmoother.Rd
man/sumvalpr.Rd
man/iterchoiceS1lrcv.Rd
man/lrsmoother.Rd
man/AIC.ibr.Rd
man/ozone.Rd
man/lambdachoice.Rd
man/calcA.Rd
man/summary.npregress.Rd
man/bwchoice.Rd
man/fittedS1lr.Rd
man/plot.forwardibr.Rd
man/plot.ibr.Rd
man/tracekernel.Rd
man/DuchonQ.Rd
man/print.summary.ibr.Rd
man/fittedS1.Rd
man/DuchonS.Rd
man/iterchoiceAcve.Rd
man/cvobs.Rd
man/predict.ibr.Rd
man/print.summary.npregress.Rd
man/iterchoiceA.Rd
man/iterchoiceS1cve.Rd
man/kernelSx.Rd
man/poids.Rd
ibr documentation built on May 19, 2017, 8:41 p.m.