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:
KERE_1.0.0.tar.gz
KERE_1.0.0.tar.gz(r-4.7-arm64)KERE_1.0.0.tar.gz(r-4.7-x86_64)KERE_1.0.0.tar.gz(r-4.6-arm64)KERE_1.0.0.tar.gz(r-4.6-x86_64)
KERE_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
KERE/json (API)
| # Install 'KERE' in R: |
| install.packages('KERE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2442a07a66. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 115 | ||
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 147 | ||
| linux-release-arm64 | OK | 126 | ||
| linux-release-x86_64 | OK | 110 | ||
| wasm-release | OK | 79 |
Exports:anovadotas.kernelMatrixbesseldotcv.KEREKEREkernelFastkernelMatrixkernelMultkernelPolkparlaplacedotpolydotpredict.KERErbfdotsplinedottanhdotvanilladot
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assing kernelMatrix class to matrix objects | as.kernelMatrix as.kernelMatrix,matrix-method as.kernelMatrix-methods kernelMatrix-class |
| Cross-validation for KERE | cv.KERE |
| Kernel Functions | anovadot 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 functions | kernelFast 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" object | plot.KERE |
| make predictions from a "KERE" object. | predict.KERE |