Iterative Bias Reduction

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Documentation for package ‘ibr’ version 2.0-4

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ibr-package Iterative Bias Reduction
AIC.ibr Summarizing iterative bias reduction fits
AICc Information Criterion for ibr
AICc.ibr Information Criterion for ibr
betaA Calculates coefficients for iterative bias reduction smoothers
betaS1 Coefficients for iterative bias reduction method.
betaS1lr Coefficients for iterative bias reduction method.
BIC Information Criterion for ibr
BIC.ibr Information Criterion for ibr
bwchoice Choice of bandwidth achieving a prescribed effective degree of freedom
calcA Decomposition of the kernel smoother
critAaic Selection of the number of iterations for iterative bias reduction smoothers
critAaicc Selection of the number of iterations for iterative bias reduction smoothers
critAbic Selection of the number of iterations for iterative bias reduction smoothers
critAgcv Selection of the number of iterations for iterative bias reduction smoothers
critAgmdl Selection of the number of iterations for iterative bias reduction smoothers
critS1aic Number of iterations selection for iterative bias reduction model
critS1aicc Number of iterations selection for iterative bias reduction model
critS1bic Number of iterations selection for iterative bias reduction model
critS1gcv Number of iterations selection for iterative bias reduction model
critS1gmdl Number of iterations selection for iterative bias reduction model
cvobs Selection of the number of iterations for iterative bias reduction smoothers
departnoyau Trace of the product kernel smoother
dssmoother Evaluate the smoothing matrix, the radial basis matrix, the polynomial matrix and their associated coefficients
dsSx Evaluate the smoothing matrix at any point
DuchonQ Computes the semi-kernel of Duchon splines
DuchonS Computes the semi-kernel of Duchon splines
epane Kernel evaluation
fittedA Evaluates the fits for iterative bias reduction method
fittedS1 Evaluate the fit for iterative bias reduction model
fittedS1lr Evaluate the fit for iterative bias reduction model
forward Iterative bias reduction smoothing
forwardibr Iterative bias reduction smoothing
gaussien Kernel evaluation
GCV Information Criterion for ibr
GCV.ibr Information Criterion for ibr
ibr Iterative bias reduction smoothing
ibr.fit Iterative bias reduction smoothing
iterchoiceA Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAcv Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAcve Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAe Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceS1 Number of iterations selection for iterative bias reduction model
iterchoiceS1cv Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon splines smoother
iterchoiceS1cve Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother or duchon splines smoother
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
iterchoiceS1lrcve Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines smoother or duchon splines smoother
kernel Kernel evaluation
kernelSx Evaluates the smoothing matrix at x*
lambdachoice Choice of bandwidth according to a given effective degree of freedom
lambdachoicelr Choice of bandwidth according to a given effective degree of freedom
lrsmoother Evaluate the lowrank spline
npregress Local polynomials smoothing
ozone Los Angeles ozone pollution data, 1976.
plot.forwardibr Plot diagnostic for an ibr object
plot.ibr Plot diagnostic for an ibr object
poids Product kernel evaluation
predict.ibr Predicted values using iterative bias reduction smoothers
predict.npregress Predicted values using using local polynomials
print.ibr Iterative bias reduction smoothing
print.npregress Local polynomials smoothing
print.summary.ibr Printing iterative bias reduction summaries
print.summary.npregress Printing iterative bias reduction summaries
quartic Kernel evaluation
residuals.ibr Iterative bias reduction smoothing
residuals.npregress Local polynomials smoothing
summary.ibr Summarizing iterative bias reduction fits
summary.npregress Summarizing local polynomial fits
sumvalpr Sum of a geometric series
tracekernel Trace of product kernel smoother
uniform Kernel evaluation