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ibr (version 2.0-4)
Iterative Bias Reduction
Description
Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.
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2.0-4
2.0-3
2.0-2
2.0-0
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Install
install.packages('ibr')
Monthly Downloads
361
Version
2.0-4
License
GPL (>= 2)
Maintainer
Pierre-Andre Cornillon
Last Published
September 13th, 2023
Functions in ibr (2.0-4)
Search functions
AIC.ibr
Summarizing iterative bias reduction fits
DuchonQ
Computes the semi-kernel of Duchon splines
DuchonS
Computes the semi-kernel of Duchon splines
departnoyau
Trace of the product kernel smoother
BIC
Information Criterion for ibr
dsSx
Evaluate the smoothing matrix at any point
betaA
Calculates coefficients for iterative bias reduction smoothers
betaS1
Coefficients for iterative bias reduction method.
ibr
Iterative bias reduction smoothing
forward
Iterative bias reduction smoothing
fittedS1
Evaluate the fit for iterative bias reduction model
fittedS1lr
Evaluate the fit for iterative bias reduction model
iterchoiceAe
Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAcve
Selection of the number of iterations for iterative bias reduction smoothers
betaS1lr
Coefficients for iterative bias reduction method.
ibr.fit
Iterative bias reduction smoothing
poids
Product kernel evaluation
bwchoice
Choice of bandwidth achieving a prescribed effective degree of freedom
plot.ibr
Plot diagnostic for an ibr object
ibr-package
Iterative Bias Reduction
print.summary.ibr
Printing iterative bias reduction summaries
print.summary.npregress
Printing iterative bias reduction summaries
iterchoiceA
Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAcv
Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceS1lrcv
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines or duchon splines smoother
ozone
Los Angeles ozone pollution data, 1976.
iterchoiceS1
Number of iterations selection for iterative bias reduction model
plot.forwardibr
Plot diagnostic for an ibr object
calcA
Decomposition of the kernel smoother
iterchoiceS1cv
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon splines smoother
lambdachoice
Choice of bandwidth according to a given effective degree of freedom
lambdachoicelr
Choice of bandwidth according to a given effective degree of freedom
cvobs
Selection of the number of iterations for iterative bias reduction smoothers
dssmoother
Evaluate the smoothing matrix, the radial basis matrix, the polynomial matrix and their associated coefficients
fittedA
Evaluates the fits for iterative bias reduction method
iterchoiceS1lrcve
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines smoother or duchon splines smoother
kernelSx
Evaluates the smoothing matrix at x*
kernel
Kernel evaluation
summary.ibr
Summarizing iterative bias reduction fits
iterchoiceS1cve
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother or duchon splines smoother
sumvalpr
Sum of a geometric series
tracekernel
Trace of product kernel smoother
iterchoiceS1e
Number of iterations selection for iterative bias reduction model
summary.npregress
Summarizing local polynomial fits
lrsmoother
Evaluate the lowrank spline
npregress
Local polynomials smoothing
predict.ibr
Predicted values using iterative bias reduction smoothers
predict.npregress
Predicted values using using local polynomials