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ibr (version 2.0-0)

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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Version

Install

install.packages('ibr')

Monthly Downloads

538

Version

2.0-0

License

GPL (>= 2)

Maintainer

Pierre-Andre Cornillon

Last Published

October 19th, 2015

Functions in ibr (2.0-0)

ibr-package

Iterative Bias Reduction

poids

Product kernel evaluation

betaS1

Coefficients 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

betaA

Calculates coefficients for iterative bias reduction smoothers

iterchoiceAcv

Selection of the number of iterations for iterative bias reduction smoothers

cvobs

Selection of the number of iterations for iterative bias reduction smoothers

fittedA

Evaluates the fits for iterative bias reduction method

BIC

Information Criterion for ibr

kernelSx

Evaluates the smoothing matrix at x*

kernel

Kernel evaluation

predict.ibr

Predicted values using iterative bias reduction smoothers

forward

Iterative bias reduction smoothing

plot.ibr

Plot diagnostic for an ibr object

ozone

Los Angeles ozone pollution data, 1976.

DuchonS

Computes the semi-kernel of Duchon splines

iterchoiceS1e

Number of iterations selection for iterative bias reduction model

iterchoiceS1lrcv

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

departnoyau

Trace of the product kernel smoother

lambdachoicelr

Choice of bandwidth according to a given effective degree of freedom

fittedS1

Evaluate the fit for iterative bias reduction model

sumvalpr

Sum of a geometric series

iterchoiceAe

Selection of the number of iterations for iterative bias reduction smoothers

print.summary.npregress

Printing iterative bias reduction summaries

tracekernel

Trace of product kernel smoother

AIC.ibr

Summarizing iterative bias reduction fits

fittedS1lr

Evaluate the fit for iterative bias reduction model

lrsmoother

Evaluate the lowrank spline

npregress

Local polynomials smoothing

predict.npregress

Predicted values using using local polynomials

calcA

Decomposition of the kernel smoother

iterchoiceAcve

Selection of the number of iterations for iterative bias reduction smoothers

betaS1lr

Coefficients for iterative bias reduction method.

dsSx

Evaluate the smoothing matrix at any point

iterchoiceS1cve

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

summary.npregress

Summarizing local polynomial fits

print.summary.ibr

Printing iterative bias reduction summaries

iterchoiceA

Selection of the number of iterations for iterative bias reduction smoothers

summary.ibr

Summarizing iterative bias reduction fits

bwchoice

Choice of bandwidth achieving a prescribed effective degree of freedom

DuchonQ

Computes the semi-kernel of Duchon splines

plot.forwardibr

Plot diagnostic for an ibr object

dssmoother

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

iterchoiceS1

Number of iterations selection for iterative bias reduction model

lambdachoice

Choice of bandwidth according to a given effective degree of freedom

ibr.fit

Iterative bias reduction smoothing

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