Package: KERE 1.0.0

Yi Yang

KERE: Expectile Regression in Reproducing Kernel Hilbert Space

An efficient algorithm inspired by majorization-minimization principle for solving the entire solution path of a flexible nonparametric expectile regression estimator constructed in a reproducing kernel Hilbert space.

Authors:Yi Yang, Teng Zhang, Hui Zou

KERE_1.0.0.tar.gz
KERE_1.0.0.tar.gz(r-4.5-noble)KERE_1.0.0.tar.gz(r-4.4-noble)
KERE_1.0.0.tgz(r-4.4-emscripten)KERE_1.0.0.tgz(r-4.3-emscripten)
KERE.pdf |KERE.html✨
KERE/json (API)

# Install 'KERE' in R:
install.packages('KERE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

1.00 score 1 stars 11 scripts 100 downloads 17 exports 0 dependencies

Last updated 9 years agofrom:2442a07a66. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linux-x86_64OKDec 13 2024

Exports:anovadotas.kernelMatrixbesseldotcv.KEREKEREkernelFastkernelMatrixkernelMultkernelPolkparlaplacedotpolydotpredict.KERErbfdotsplinedottanhdotvanilladot

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Assing kernelMatrix class to matrix objectsas.kernelMatrix as.kernelMatrix,matrix-method as.kernelMatrix-methods kernelMatrix-class
Cross-validation for KEREcv.KERE
Kernel Functionsanovadot besseldot dots fourierdot kernels kfunction kpar laplacedot polydot rbfdot show,kernel-method splinedot tanhdot vanilladot
Fits the regularization paths for the kernel expectile regression.KERE
Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"anovakernel-class besselkernel-class fourierkernel-class kernel-class kfunction-class kpar,kernel-method laplacekernel-class polykernel-class rbfkernel-class splinekernel-class tanhkernel-class vanillakernel-class
Kernel Matrix functionskernelFast kernelFast,anovakernel-method kernelFast,besselkernel-method kernelFast,kernel-method kernelFast,laplacekernel-method kernelFast,polykernel-method kernelFast,rbfkernel-method kernelFast,splinekernel-method kernelFast,tanhkernel-method kernelFast,vanillakernel-method kernelMatrix kernelMatrix,anovakernel-method kernelMatrix,besselkernel-method kernelMatrix,kernel-method kernelMatrix,laplacekernel-method kernelMatrix,polykernel-method kernelMatrix,rbfkernel-method kernelMatrix,splinekernel-method kernelMatrix,tanhkernel-method kernelMatrix,vanillakernel-method kernelMult kernelMult,anovakernel,ANY-method kernelMult,besselkernel,ANY-method kernelMult,character,kernelMatrix-method kernelMult,kernel-method kernelMult,laplacekernel,ANY-method kernelMult,polykernel,ANY-method kernelMult,rbfkernel,ANY-method kernelMult,splinekernel,ANY-method kernelMult,tanhkernel,ANY-method kernelMult,vanillakernel,ANY-method kernelPol kernelPol,anovakernel-method kernelPol,besselkernel-method kernelPol,kernel-method kernelPol,laplacekernel-method kernelPol,polykernel-method kernelPol,rbfkernel-method kernelPol,splinekernel-method kernelPol,tanhkernel-method kernelPol,vanillakernel-method
Plot coefficients from a "KERE" objectplot.KERE
make predictions from a "KERE" object.predict.KERE