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:Eva Herrmann [aut], Martin Maechler [cre, aut]

lokern_1.1-12.tar.gz
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lokern.pdf |lokern.html
lokern/json (API)

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

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/curves-etc

Datasets:
  • xSim - Simulated Linear plus Exponential Peak

On CRAN:

5.80 score 5 packages 63 scripts 1.7k downloads 2 mentions 4 exports 1 dependencies

Last updated 13 days agofrom:bf7fc6c363. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-win-x86_64OKNov 08 2024
R-4.5-linux-x86_64OKNov 08 2024
R-4.4-win-x86_64OKNov 08 2024
R-4.4-mac-x86_64OKNov 08 2024
R-4.4-mac-aarch64OKNov 08 2024
R-4.3-win-x86_64OKNov 08 2024
R-4.3-mac-x86_64OKNov 08 2024
R-4.3-mac-aarch64OKNov 08 2024

Exports:glkernslokernsvarestvarNPreg

Dependencies:sfsmisc

Readme and manuals

Help Manual

Help pageTopics
Kernel Regression Smoothing with Adaptive Plug-in Bandwidthglkerns 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 Bandwidthlokerns lokerns.default lokerns.formula
Nonparametric Variance Estimatorvarest varNPreg
Simulated Linear plus Exponential PeakxSim