Package: lokern 1.1-12
Martin Maechler
lokern: Kernel Regression Smoothing with Local or Global Plug-in Bandwidth
Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.
Authors:
lokern_1.1-12.tar.gz
lokern_1.1-12.zip(r-4.7-x86_64)lokern_1.1-12.zip(r-4.7-arm64)lokern_1.1-12.zip(r-4.6-x86_64)lokern_1.1-12.zip(r-4.6-arm64)lokern_1.1-12.zip(r-4.5-x86_64)
lokern_1.1-12.tgz(r-4.6-x86_64)lokern_1.1-12.tgz(r-4.6-arm64)lokern_1.1-12.tgz(r-4.5-x86_64)lokern_1.1-12.tgz(r-4.5-arm64)
lokern_1.1-12.tar.gz(r-4.7-arm64)lokern_1.1-12.tar.gz(r-4.7-x86_64)lokern_1.1-12.tar.gz(r-4.6-arm64)lokern_1.1-12.tar.gz(r-4.6-x86_64)
lokern_1.1-12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lokern/json (API)
| # Install 'lokern' in R: |
| install.packages('lokern', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/curves-etc
- xSim - Simulated Linear plus Exponential Peak
Last updated from:423f5af382. Checks:14 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 96 | ||
| linux-devel-x86_64 | OK | 91 | ||
| source / vignettes | OK | 184 | ||
| linux-release-arm64 | OK | 90 | ||
| linux-release-x86_64 | OK | 91 | ||
| macos-release-arm64 | OK | 110 | ||
| macos-release-x86_64 | OK | 272 | ||
| macos-oldrel-arm64 | OK | 99 | ||
| macos-oldrel-x86_64 | OK | 166 | ||
| windows-devel-arm64 | OK | 171 | ||
| windows-devel-x86_64 | OK | 104 | ||
| windows-release-arm64 | WARNING | 189 | ||
| windows-release-x86_64 | OK | 74 | ||
| windows-oldrel-x86_64 | OK | 73 | ||
| wasm-release | OK | 89 |
Exports:glkernslokernsvarestvarNPreg
Dependencies:sfsmisc
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Kernel Regression Smoothing with Adaptive Plug-in Bandwidth | glkerns glkerns.default glkerns.formula |
| Methods for ("KernS" classed) Results of lokerns() and glkerns() | fitted.KernS lines.KernS plot.KernS predict.KernS print.KernS residuals.KernS |
| Kernel Regression Smoothing with Local Plug-in Bandwidth | lokerns lokerns.default lokerns.formula |
| Nonparametric Variance Estimator | varest varNPreg |
| Simulated Linear plus Exponential Peak | xSim |