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-4.7-any)SLFPCA_3.0.tar.gz(r-4.6-any)
SLFPCA_3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SLFPCA/json (API)

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

On CRAN:

Conda:

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 168 downloads 2 exports 85 dependencies

Last updated from:eb4bdfb7d3. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK134
source / vignettesOK234
linux-release-x86_64OK136
wasm-releaseOK128

Exports:GenBinaryFDSLFPCA

Dependencies:ashbackportsbase64encbitopsbslibcachemcheckmatecliclustercolorspacecpp11data.tabledeSolvedigestevaluatefarverfastmapfdafdapacefdsFNNfontawesomeforeignFormulafsggplot2glueGPArotationgridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemnormtmulticoolmvtnormnlmennetnumDerivpcaPPpracmapsychR6rainbowrappdirsRColorBrewerRcppRcppEigenRCurlrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml