Package: SLFPCA 3.0
Rou Zhong
SLFPCA: Sparse Logistic Functional Principal Component Analysis
Implementation for sparse logistic functional principal component analysis (SLFPCA). SLFPCA is specifically developed for functional binary data, and the estimated eigenfunction can be strictly zero on some sub-intervals, which is helpful for interpretation. The crucial function of this package is SLFPCA().
Authors:
SLFPCA_3.0.tar.gz
SLFPCA_3.0.tar.gz(r-4.5-noble)SLFPCA_3.0.tar.gz(r-4.4-noble)
SLFPCA_3.0.tgz(r-4.4-emscripten)SLFPCA_3.0.tgz(r-4.3-emscripten)
SLFPCA.pdf |SLFPCA.html✨
SLFPCA/json (API)
| # Install 'SLFPCA' in R: |
| install.packages('SLFPCA', 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 2 years agofrom:eb4bdfb7d3. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
Exports:GenBinaryFDSLFPCA
Dependencies:ashbackportsbase64encbitopsbslibcachemcheckmatecliclustercolorspacedata.tabledeSolvedigestevaluatefansifarverfastmapfdafdapacefdsFNNfontawesomeforeignFormulafsggplot2glueGPArotationgridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemnormtmulticoolmunsellmvtnormnlmennetnumDerivpcaPPpillarpkgconfigpracmapsychR6rainbowrappdirsRColorBrewerRcppRcppEigenRCurlrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate binary functional data | GenBinaryFD |
| Sparse logistic functional principal component analysis | SLFPCA |