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ibr (version 2.0-2)

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

2.0-2

License

GPL (>= 2)

Maintainer

Pierre-Andre Cornillon

Last Published

January 26th, 2016

Functions in ibr (2.0-2)

summary.ibr

Summarizing iterative bias reduction fits

iterchoiceS1cv

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

AIC.ibr

Summarizing iterative bias reduction fits

cvobs

Selection of the number of iterations for iterative bias reduction smoothers

BIC

Information Criterion for ibr

betaS1lr

Coefficients for iterative bias reduction method.

fittedS1

Evaluate the fit for iterative bias reduction model

bwchoice

Choice of bandwidth achieving a prescribed effective degree of freedom

sumvalpr

Sum of a geometric series

iterchoiceAe

Selection of the number of iterations for iterative bias reduction smoothers

calcA

Decomposition of the kernel smoother

iterchoiceAcv

Selection of the number of iterations for iterative bias reduction smoothers

fittedS1lr

Evaluate the fit for iterative bias reduction model

DuchonS

Computes the semi-kernel of Duchon splines

departnoyau

Trace of the product kernel smoother

iterchoiceS1cve

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

betaS1

Coefficients for iterative bias reduction method.

summary.npregress

Summarizing local polynomial fits

tracekernel

Trace of product kernel smoother

print.summary.npregress

Printing iterative bias reduction summaries

betaA

Calculates coefficients for iterative bias reduction smoothers

forward

Iterative bias reduction smoothing

fittedA

Evaluates the fits for iterative bias reduction method

iterchoiceA

Selection of the number of iterations for iterative bias reduction smoothers

dsSx

Evaluate the smoothing matrix at any point

ibr-package

Iterative Bias Reduction

iterchoiceS1

Number of iterations selection for iterative bias reduction model

DuchonQ

Computes the semi-kernel of Duchon splines

ibr.fit

Iterative bias reduction smoothing

kernelSx

Evaluates the smoothing matrix at x*

dssmoother

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

ozone

Los Angeles ozone pollution data, 1976.

predict.npregress

Predicted values using using local polynomials

poids

Product kernel evaluation

iterchoiceS1lrcve

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

lambdachoicelr

Choice of bandwidth according to a given effective degree of freedom

predict.ibr

Predicted values using iterative bias reduction smoothers

kernel

Kernel evaluation

plot.forwardibr

Plot diagnostic for an ibr object

lrsmoother

Evaluate the lowrank spline

npregress

Local polynomials smoothing

iterchoiceS1lrcv

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

plot.ibr

Plot diagnostic for an ibr object

print.summary.ibr

Printing iterative bias reduction summaries

ibr

Iterative bias reduction smoothing

iterchoiceAcve

Selection of the number of iterations for iterative bias reduction smoothers

iterchoiceS1e

Number of iterations selection for iterative bias reduction model

lambdachoice

Choice of bandwidth according to a given effective degree of freedom