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: 1.0
Depends: R (≥ 2.10)
Imports: fda, fdapace, psych, stats, utils
Published: 2021-08-20
Author: Rou Zhong [aut, cre]
Maintainer: Rou Zhong <zhong_rou at 163.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: SLFPCA results

Documentation:

Reference manual: SLFPCA.pdf

Downloads:

Package source: SLFPCA_1.0.tar.gz
Windows binaries: r-devel: SLFPCA_1.0.zip, r-release: SLFPCA_1.0.zip, r-oldrel: SLFPCA_1.0.zip
macOS binaries: r-release (arm64): SLFPCA_1.0.tgz, r-release (x86_64): SLFPCA_1.0.tgz, r-oldrel: SLFPCA_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SLFPCA to link to this page.