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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 |