AIC.ibr                 Summarizing iterative bias reduction fits
BIC                     Information Criterion for ibr
DuchonQ                 Computes the semi-kernel of Duchon splines
DuchonS                 Computes the semi-kernel of Duchon splines
betaA                   Calculates coefficients for iterative bias
                        reduction smoothers
betaS1                  Coefficients for iterative bias reduction
                        method.
betaS1lr                Coefficients for iterative bias reduction
                        method.
bwchoice                Choice of bandwidth achieving a prescribed
                        effective degree of freedom
calcA                   Decomposition of the kernel smoother
cvobs                   Selection of the number of iterations for
                        iterative bias reduction smoothers
departnoyau             Trace of the product kernel smoother
dsSx                    Evaluate the smoothing matrix at any point
dssmoother              Evaluate the smoothing matrix, the radial basis
                        matrix, the polynomial matrix and their
                        associated coefficients
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
ibr                     Iterative bias reduction smoothing
ibr-package             Iterative Bias Reduction
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.summary.ibr       Printing iterative bias reduction summaries
print.summary.npregress
                        Printing iterative bias reduction summaries
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
