Package: ibr 2.0-4

"Pierre-Andre Cornillon"

ibr: Iterative Bias Reduction

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

Authors:Pierre-Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober

ibr_2.0-4.tar.gz
ibr_2.0-4.tar.gz(r-4.5-noble)ibr_2.0-4.tar.gz(r-4.4-noble)
ibr_2.0-4.tgz(r-4.4-emscripten)ibr_2.0-4.tgz(r-4.3-emscripten)
ibr.pdf |ibr.html✨
ibr/json (API)

# Install 'ibr' in R:
install.packages('ibr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • ozone - Los Angeles ozone pollution data, 1976.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

1.00 score 19 scripts 387 downloads 66 exports 4 dependencies

Last updated 1 years agofrom:6981ff62ae. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linux-x86_64NOTEDec 09 2024

Exports:AIC.ibrAICcAICc.ibrbetaAbetaS1betaS1lrBIC.ibrbwchoicecalcAcritAaiccritAaicccritAbiccritAgcvcritAgmdlcritS1aiccritS1aicccritS1biccritS1gcvcritS1gmdlcvobsdepartnoyaudssmootherdsSxDuchonQDuchonSepanefittedAfittedS1fittedS1lrforwardgaussienGCVGCV.ibribribr.fititerchoiceAiterchoiceAcviterchoiceAcveiterchoiceAeiterchoiceS1iterchoiceS1cviterchoiceS1cveiterchoiceS1eiterchoiceS1lrcviterchoiceS1lrcvekernelSxlambdachoicelambdachoicelrlrsmoothernpregressplot.forwardibrplot.ibrpoidspredict.ibrpredict.npregressprint.ibrprint.npregressprint.summary.ibrprint.summary.npregressquarticresiduals.ibrsummary.ibrsummary.npregresssumvalprtracekerneluniform

Dependencies:latticeMatrixmgcvnlme

Readme and manuals

Help Manual

Help pageTopics
Iterative Bias Reductionibr-package
Summarizing iterative bias reduction fitsAIC.ibr
Calculates coefficients for iterative bias reduction smoothersbetaA
Coefficients for iterative bias reduction method.betaS1
Coefficients for iterative bias reduction method.betaS1lr
Information Criterion for ibrAICc AICc.ibr BIC BIC.ibr GCV GCV.ibr
Choice of bandwidth achieving a prescribed effective degree of freedombwchoice
Decomposition of the kernel smoothercalcA
Selection of the number of iterations for iterative bias reduction smootherscvobs
Trace of the product kernel smootherdepartnoyau
Evaluate the smoothing matrix, the radial basis matrix, the polynomial matrix and their associated coefficientsdssmoother
Evaluate the smoothing matrix at any pointdsSx
Computes the semi-kernel of Duchon splinesDuchonQ
Computes the semi-kernel of Duchon splinesDuchonS
Evaluates the fits for iterative bias reduction methodfittedA
Evaluate the fit for iterative bias reduction modelfittedS1
Evaluate the fit for iterative bias reduction modelfittedS1lr
Iterative bias reduction smoothingforward forwardibr
Iterative bias reduction smoothingibr print.ibr residuals.ibr
Iterative bias reduction smoothingibr.fit
Selection of the number of iterations for iterative bias reduction smootherscritAaic critAaicc critAbic critAgcv critAgmdl iterchoiceA
Selection of the number of iterations for iterative bias reduction smoothersiterchoiceAcv
Selection of the number of iterations for iterative bias reduction smoothersiterchoiceAcve
Selection of the number of iterations for iterative bias reduction smoothersiterchoiceAe
Number of iterations selection for iterative bias reduction modelcritS1aic critS1aicc critS1bic critS1gcv critS1gmdl iterchoiceS1
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon splines smootheriterchoiceS1cv
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother or duchon splines smootheriterchoiceS1cve
Number of iterations selection for iterative bias reduction modeliterchoiceS1e
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines or duchon splines smootheriterchoiceS1lrcv
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines smoother or duchon splines smootheriterchoiceS1lrcve
Kernel evaluationepane gaussien kernel quartic uniform
Evaluates the smoothing matrix at x*kernelSx
Choice of bandwidth according to a given effective degree of freedomlambdachoice
Choice of bandwidth according to a given effective degree of freedomlambdachoicelr
Evaluate the lowrank splinelrsmoother
Local polynomials smoothingnpregress print.npregress residuals.npregress
Los Angeles ozone pollution data, 1976.ozone
Plot diagnostic for an ibr objectplot.forwardibr
Plot diagnostic for an ibr objectplot.ibr
Product kernel evaluationpoids
Predicted values using iterative bias reduction smootherspredict.ibr
Predicted values using using local polynomialspredict.npregress
Printing iterative bias reduction summariesprint.summary.ibr
Printing iterative bias reduction summariesprint.summary.npregress
Summarizing iterative bias reduction fitssummary.ibr
Summarizing local polynomial fitssummary.npregress
Sum of a geometric seriessumvalpr
Trace of product kernel smoothertracekernel