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ibr (version 1.3.2)

Iterative Bias Reduction

Description

an R package for multivariate smoothing

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Version

Install

install.packages('ibr')

Monthly Downloads

242

Version

1.3.2

License

GPL (>= 2)

Maintainer

Pierre-Andre Cornillon

Last Published

April 6th, 2011

Functions in ibr (1.3.2)

betaS1

Coefficients for iterative bias reduction method.
tpsSx

Evaluate the smoothing matrix at any point
tracekernel

Trace of product kernel smoother
ibr-package

Iterative Bias Reduction
kernel

Kernel evaluation
tpssmoother

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

Trace of the product kernel smoother
lambdachoice

Choice of bandwidth according to a given effective degree of freedom
kernelSx

Evaluates the smoothing matrix at x*
cvobs

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

Information Criterion for ibr
predict.ibr

Predicted values using iterative bias reduction smoothers
iterchoiceA

Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceS1cve

Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother
iterchoiceS1

Number of iterations selection for iterative bias reduction model
iterchoiceS1e

Number of iterations selection for iterative bias reduction model
poids

Product kernel evaluation
plot.ibr

Plot diagnostic for an ibr object
sumvalpr

Sum of a geometric series
print.summary.ibr

Printing iterative bias reduction summaries
npregression

Local polynomials smoothing
iterchoiceS1cv

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

Iterative bias reduction smoothing
calcA

Decomposition of the kernel smoother
predict.npregression

Predicted values using using local polynomials
print.summary.npregression

Printing iterative bias reduction summaries
forward

Iterative bias reduction smoothing
fittedA

Evaluates the fits for iterative bias reduction method
summary.npregression

Summarizing local polynomial fits
iterchoiceAe

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

Los Angeles ozone pollution data, 1976.
plot.forwardibr

Plot diagnostic for an ibr object
bwchoice

Choice of bandwidth achieving a prescribed effective degree of freedom
iterchoiceAcv

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

Summarizing iterative bias reduction fits
fittedS1

Evaluate the fit for iterative bias reduction model
summary.ibr

Summarizing iterative bias reduction fits
iterchoiceAcve

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

Calculates coefficients for iterative bias reduction smoothers