Package: locpol 0.9.0

Jorge Luis Ojeda Cabrera
locpol: Kernel Local Polynomial Regression
Computes local polynomial estimators for the regression and also density. It comprises several different utilities to handle kernel estimators.
Authors:
locpol_0.9.0.tar.gz
locpol_0.9.0.zip(r-4.7)locpol_0.9.0.zip(r-4.6)locpol_0.9.0.zip(r-4.5)
locpol_0.9.0.tgz(r-4.6-x86_64)locpol_0.9.0.tgz(r-4.6-arm64)locpol_0.9.0.tgz(r-4.5-x86_64)locpol_0.9.0.tgz(r-4.5-arm64)
locpol_0.9.0.tar.gz(r-4.7-arm64)locpol_0.9.0.tar.gz(r-4.7-x86_64)locpol_0.9.0.tar.gz(r-4.6-arm64)locpol_0.9.0.tar.gz(r-4.6-x86_64)
locpol_0.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
locpol/json (API)
| # Install 'locpol' in R: |
| install.packages('locpol', repos = c('https://bquast.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bquast/locpol/issues
Last updated from:c7724eb54a. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 117 | ||
| linux-devel-x86_64 | OK | 89 | ||
| source / vignettes | OK | 136 | ||
| linux-release-arm64 | OK | 112 | ||
| linux-release-x86_64 | OK | 103 | ||
| macos-release-arm64 | OK | 92 | ||
| macos-release-x86_64 | OK | 224 | ||
| macos-oldrel-arm64 | OK | 88 | ||
| macos-oldrel-x86_64 | OK | 130 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 71 | ||
| wasm-release | OK | 82 |
Exports:adjNuKbivDensbivRegbiweigKcompDerEstcomputeK4computeMucomputeMu0computeRKconfIntervalCosKcteNuKdenCVBwSelCdomEpaKepaK2dequivKernelgauK2dgaussKgaussKlfK4KconvollocCteSmootherClocCteWeightsClocCuadSmootherClocLinSmootherClocLinWeightsClocpollocPolSmootherClocPolWeightslocWeightsEvallocWeightsEvalClooLocPolSmootherCmu0Kmu2KplotBivNpEstOptspluginBwPRDenEstCQuartKRdKregCVBwSelCRKselKernelsimpleSmootherCsimpleSqSmootherCSqKthumbBwTrianKtricubKtricubKlfTriweigK
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bivariate Local estimation. | bivDens bivReg epaK2d gauK2d mayBeBwSel plot.bivNpEst plotBivNpEstOpts predict.bivNpEst |
| Compute kernel values. | Compute kernel values computeK4 computeMu computeMu0 computeRK Kconvol |
| CV bandwidth selector for density | denCVBwSelC |
| Equivalent Kernel. | equivKernel |
| Kernel characteristics | dom K4 Kernel characteristics mu0K mu2K RdK RK |
| Kernel Constants used in Bandwidth Selection. | adjNuK cteNuK |
| Kernels. | biweigK CosK Epa2K EpaK gaussK gaussKlf Kernels QuartK SqK TrianK tricubK tricubKlf TriweigK |
| Local Polynomial Weights | locCteWeightsC locLinWeightsC locPolWeights locWeightsEval locWeightsEvalC |
| Local Polynomial estimation. | confInterval fitted.locpol locpol plot.locpol print.locpol residuals.locpol summary.locpol |
| Local Polynomial estimation. | locCteSmootherC locCuadSmootherC locLinSmootherC locPolSmootherC looLocPolSmootherC |
| Plugin Bandwidth selector. | pluginBw |
| Parzen-Rosenblatt denstiy estimator. | PRDenEstC |
| Cross Validation Bandwidth selector. | regCVBwSelC |
| Kernel selection. | selKernel |
| Simple smoother | simpleSmootherC simpleSqSmootherC |
| Rule of thumb for bandwidth selection. | compDerEst thumbBw |