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().

Version: 3.0
Imports: fda, fdapace, psych, splines, stats
Published: 2022-12-13
DOI: 10.32614/CRAN.package.SLFPCA
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: SLFPCA results


Reference manual: SLFPCA.pdf


Package source: SLFPCA_3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SLFPCA_3.0.tgz, r-oldrel (arm64): SLFPCA_3.0.tgz, r-release (x86_64): SLFPCA_3.0.tgz, r-oldrel (x86_64): SLFPCA_3.0.tgz
Old sources: SLFPCA archive


Please use the canonical form to link to this page.