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:Rou Zhong [aut, cre], Jingxiao Zhang [aut]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 3 scripts 167 downloads 2 exports 90 dependencies

Last updated 2 years agofrom:eb4bdfb7d3. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linuxOKNov 28 2024

Exports:GenBinaryFDSLFPCA

Dependencies:ashbackportsbase64encbitopsbslibcachemcheckmatecliclustercolorspacedata.tabledeSolvedigestevaluatefansifarverfastmapfdafdapacefdsFNNfontawesomeforeignFormulafsggplot2glueGPArotationgridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemnormtmulticoolmunsellmvtnormnlmennetnumDerivpcaPPpillarpkgconfigpracmapsychR6rainbowrappdirsRColorBrewerRcppRcppEigenRCurlrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml