RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (2.0-4) of this package.
Take me there.
ibr (version 2.0-2)
Iterative Bias Reduction
Description
Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.
Copy Link
Copy
Link to current version
Version
Version
2.0-4
2.0-3
2.0-2
2.0-0
1.4.5
1.4.3
1.4.2
1.4.1
1.4.0
1.3.2
1.3.1
1.3.0
1.2.2
1.2.1
Down Chevron
Install
install.packages('ibr')
Monthly Downloads
361
Version
2.0-2
License
GPL (>= 2)
Maintainer
Pierre-Andre Cornillon
Last Published
January 26th, 2016
Functions in ibr (2.0-2)
Search functions
summary.ibr
Summarizing iterative bias reduction fits
iterchoiceS1cv
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines or duchon splines smoother
AIC.ibr
Summarizing iterative bias reduction fits
cvobs
Selection of the number of iterations for iterative bias reduction smoothers
BIC
Information Criterion for ibr
betaS1lr
Coefficients for iterative bias reduction method.
fittedS1
Evaluate the fit for iterative bias reduction model
bwchoice
Choice of bandwidth achieving a prescribed effective degree of freedom
sumvalpr
Sum of a geometric series
iterchoiceAe
Selection of the number of iterations for iterative bias reduction smoothers
calcA
Decomposition of the kernel smoother
iterchoiceAcv
Selection of the number of iterations for iterative bias reduction smoothers
fittedS1lr
Evaluate the fit for iterative bias reduction model
DuchonS
Computes the semi-kernel of Duchon splines
departnoyau
Trace of the product kernel smoother
iterchoiceS1cve
Selection of the number of iterations for iterative bias reduction smoothers with base thin-plate splines smoother or duchon splines smoother
betaS1
Coefficients for iterative bias reduction method.
summary.npregress
Summarizing local polynomial fits
tracekernel
Trace of product kernel smoother
print.summary.npregress
Printing iterative bias reduction summaries
betaA
Calculates coefficients for iterative bias reduction smoothers
forward
Iterative bias reduction smoothing
fittedA
Evaluates the fits for iterative bias reduction method
iterchoiceA
Selection of the number of iterations for iterative bias reduction smoothers
dsSx
Evaluate the smoothing matrix at any point
ibr-package
Iterative Bias Reduction
iterchoiceS1
Number of iterations selection for iterative bias reduction model
DuchonQ
Computes the semi-kernel of Duchon splines
ibr.fit
Iterative bias reduction smoothing
kernelSx
Evaluates the smoothing matrix at x*
dssmoother
Evaluate the smoothing matrix, the radial basis matrix, the polynomial matrix and their associated coefficients
ozone
Los Angeles ozone pollution data, 1976.
predict.npregress
Predicted values using using local polynomials
poids
Product kernel evaluation
iterchoiceS1lrcve
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines smoother or duchon splines smoother
lambdachoicelr
Choice of bandwidth according to a given effective degree of freedom
predict.ibr
Predicted values using iterative bias reduction smoothers
kernel
Kernel evaluation
plot.forwardibr
Plot diagnostic for an ibr object
lrsmoother
Evaluate the lowrank spline
npregress
Local polynomials smoothing
iterchoiceS1lrcv
Selection of the number of iterations for iterative bias reduction smoothers with base lowrank thin-plate splines or duchon splines smoother
plot.ibr
Plot diagnostic for an ibr object
print.summary.ibr
Printing iterative bias reduction summaries
ibr
Iterative bias reduction smoothing
iterchoiceAcve
Selection of the number of iterations for iterative bias reduction smoothers
iterchoiceS1e
Number of iterations selection for iterative bias reduction model
lambdachoice
Choice of bandwidth according to a given effective degree of freedom