Iterative Bias Reduction
Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.
Summarizing iterative bias reduction fits
Information Criterion for ibr
Computes the semi-kernel of Duchon splines
Calculates coefficients for iterative bias reduction smoothers
Coefficients for iterative bias reduction method.
Choice of bandwidth achieving a prescribed effective degree of freedom
Decomposition of the kernel smoother
Selection of the number of iterations for iterative bias reduction smoothers
Trace of the product kernel smoother
Evaluate the smoothing matrix at any point
Evaluate the smoothing matrix, the radial basis matrix, the polynomial matrix and their associated coefficients
Evaluates the fits for iterative bias reduction method
Evaluate the fit for iterative bias reduction model
Iterative bias reduction smoothing
Number of iterations selection for iterative bias reduction model
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon splines smoother
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother or duchon splines smoother
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines or duchon splines smoother
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines smoother or duchon splines smoother
Kernel evaluation
Evaluates the smoothing matrix at x*
Choice of bandwidth according to a given effective degree of freedom
Evaluate the lowrank spline
Local polynomials smoothing
Los Angeles ozone pollution data, 1976.
Plot diagnostic for an ibr object
Product kernel evaluation
Predicted values using iterative bias reduction smoothers
Predicted values using using local polynomials
Printing iterative bias reduction summaries
Summarizing local polynomial fits
Sum of a geometric series
Trace of product kernel smoother
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