R: Iterative Bias Reduction

# Iterative Bias Reduction

## Documentation for package ‘ibr’ version 2.0-5

- DESCRIPTION file

## Help Pages

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