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.zip(r-4.7-any)SLFPCA_3.0.zip(r-4.6-any)
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✨
DESCRIPTION
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 284 downloads 2 exports 85 dependencies

Last updated from:eb4bdfb7d3. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK117
source / vignettesOK196
linux-releaseOK129
windows-develOK71
windows-releaseOK77
wasm-releaseOK112

Exports:GenBinaryFDSLFPCA

Dependencies:ashbackportsbase64encbitopsbslibcachemcheckmatecliclustercolorspacecpp11data.tabledeSolvedigestevaluatefarverfastmapfdafdapacefdsFNNfontawesomeforeignFormulafsggplot2glueGPArotationgridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemnormtmulticoolmvtnormnlmennetnumDerivpcaPPpracmapsychR6rainbowrappdirsRColorBrewerRcppRcppEigenRCurlrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml