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ibr (version 1.4.5)

Iterative Bias Reduction

Description

an R package for multivariate smoothing

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Version

Install

install.packages('ibr')

Monthly Downloads

242

Version

1.4.5

License

GPL (>= 2)

Maintainer

Pierre-Andre Cornillon

Last Published

September 2nd, 2013

Functions in ibr (1.4.5)

iterchoiceS1e

Number of iterations selection for iterative bias reduction model
ozone

Los Angeles ozone pollution data, 1976.
calcA

Decomposition of the kernel smoother
DuchonQ

Computes the semi-kernel of Duchon splines
cvobs

Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAe

Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAcv

Selection of the number of iterations for iterative bias reduction smoothers
fittedS1

Evaluate the fit for iterative bias reduction model
dssmoother

Evaluate the smoothing matrix, the radial basis matrix, the polynomial matrix and their associated coefficients
kernelSx

Evaluates the smoothing matrix at x*
summary.npregression

Summarizing local polynomial fits
AIC.ibr

Summarizing iterative bias reduction fits
npregression

Local polynomials smoothing
sumvalpr

Sum of a geometric series
print.summary.npregression

Printing iterative bias reduction summaries
poids

Product kernel evaluation
departnoyau

Trace of the product kernel smoother
summary.ibr

Summarizing iterative bias reduction fits
iterchoiceA

Selection of the number of iterations for iterative bias reduction smoothers
plot.forwardibr

Plot diagnostic for an ibr object
ibr-package

Iterative Bias Reduction
iterchoiceS1

Number of iterations selection for iterative bias reduction model
iterchoiceAcve

Selection of the number of iterations for iterative bias reduction smoothers
predict.ibr

Predicted values using iterative bias reduction smoothers
DuchonS

Computes the semi-kernel of Duchon splines
plot.ibr

Plot diagnostic for an ibr object
forward

Iterative bias reduction smoothing
betaS1

Coefficients for iterative bias reduction method.
lambdachoice

Choice of bandwidth according to a given effective degree of freedom
predict.npregression

Predicted values using using local polynomials
kernel

Kernel evaluation
fittedA

Evaluates the fits for iterative bias reduction method
BIC

Information Criterion for ibr
print.summary.ibr

Printing iterative bias reduction summaries
dsSx

Evaluate the smoothing matrix at any point
iterchoiceS1cv

Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon splines smoother
ibr

Iterative bias reduction smoothing
betaA

Calculates coefficients for iterative bias reduction smoothers
iterchoiceS1cve

Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother or duchon splines smoother
tracekernel

Trace of product kernel smoother
bwchoice

Choice of bandwidth achieving a prescribed effective degree of freedom