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ibr (version 1.4.5)
Iterative Bias Reduction
Description
an R package for multivariate smoothing
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Version
2.0-4
2.0-3
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1.4.5
1.4.3
1.4.2
1.4.1
1.4.0
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1.2.1
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Install
install.packages('ibr')
Monthly Downloads
361
Version
1.4.5
License
GPL (>= 2)
Maintainer
Pierre-Andre Cornillon
Last Published
September 2nd, 2013
Functions in ibr (1.4.5)
Search functions
iterchoiceS1e
Number of iterations selection for iterative bias reduction model
ozone
Los Angeles ozone pollution data, 1976.
calcA
Decomposition of the kernel smoother
DuchonQ
Computes the semi-kernel of Duchon splines
cvobs
Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAe
Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceAcv
Selection of the number of iterations for iterative bias reduction smoothers
fittedS1
Evaluate the fit for iterative bias reduction model
dssmoother
Evaluate the smoothing matrix, the radial basis matrix, the polynomial matrix and their associated coefficients
kernelSx
Evaluates the smoothing matrix at x*
summary.npregression
Summarizing local polynomial fits
AIC.ibr
Summarizing iterative bias reduction fits
npregression
Local polynomials smoothing
sumvalpr
Sum of a geometric series
print.summary.npregression
Printing iterative bias reduction summaries
poids
Product kernel evaluation
departnoyau
Trace of the product kernel smoother
summary.ibr
Summarizing iterative bias reduction fits
iterchoiceA
Selection of the number of iterations for iterative bias reduction smoothers
plot.forwardibr
Plot diagnostic for an ibr object
ibr-package
Iterative Bias Reduction
iterchoiceS1
Number of iterations selection for iterative bias reduction model
iterchoiceAcve
Selection of the number of iterations for iterative bias reduction smoothers
predict.ibr
Predicted values using iterative bias reduction smoothers
DuchonS
Computes the semi-kernel of Duchon splines
plot.ibr
Plot diagnostic for an ibr object
forward
Iterative bias reduction smoothing
betaS1
Coefficients for iterative bias reduction method.
lambdachoice
Choice of bandwidth according to a given effective degree of freedom
predict.npregression
Predicted values using using local polynomials
kernel
Kernel evaluation
fittedA
Evaluates the fits for iterative bias reduction method
BIC
Information Criterion for ibr
print.summary.ibr
Printing iterative bias reduction summaries
dsSx
Evaluate the smoothing matrix at any point
iterchoiceS1cv
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon splines smoother
ibr
Iterative bias reduction smoothing
betaA
Calculates coefficients for iterative bias reduction smoothers
iterchoiceS1cve
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother or duchon splines smoother
tracekernel
Trace of product kernel smoother
bwchoice
Choice of bandwidth achieving a prescribed effective degree of freedom