Package: SCBmeanfd 1.2.2
David Degras
SCBmeanfd: Simultaneous Confidence Bands for the Mean of Functional Data
Statistical methods for estimating and inferring the mean of functional data. The methods include simultaneous confidence bands, local polynomial fitting, bandwidth selection by plug-in and cross-validation, goodness-of-fit tests for parametric models, equality tests for two-sample problems, and plotting functions.
Authors:
SCBmeanfd_1.2.2.tar.gz
SCBmeanfd_1.2.2.tar.gz(r-4.5-noble)SCBmeanfd_1.2.2.tar.gz(r-4.4-noble)
SCBmeanfd_1.2.2.tgz(r-4.4-emscripten)SCBmeanfd_1.2.2.tgz(r-4.3-emscripten)
SCBmeanfd.pdf |SCBmeanfd.html✨
SCBmeanfd/json (API)
NEWS
| # Install 'SCBmeanfd' in R: |
| install.packages('SCBmeanfd', 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 8 years agofrom:85c7ed88a4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
Exports:cv.scorecv.selectplot.SCBandplrt.modelplugin.selectprint.SCBandscb.equalscb.meanscb.modelsummary.SCBand
Dependencies:bootKernSmooth
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simultaneous Confidence Bands for Mean Functions | SCBmeanfd-package SCBmeanfd |
| Leave-One-Curve-out Cross-Validation Score | cv.score |
| Cross-Validation Bandwidth Selection for Local Polynomial Estimation | cv.select |
| Phoneme data | phoneme |
| Plasma citrate data | plasma |
| Plot a SCBand Object | plot.SCBand |
| Pseudo-Likelihood Ratio Test for Models of the Mean Function | plrt.model |
| Plug-in Bandwidth Selection for Local Polynomial Estimation | plugin.select |
| Print a SCBand Object | print.SCBand |
| Compare Two Mean Functions | scb.equal |
| Build Simultaneous Confidence Bands for Mean Functions | scb.mean |
| Goodness-Of-Fit of a Model for the Mean Function | scb.model |
| Summarize a SCBand Object | summary.SCBand |