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>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: SLFPCA results


Reference manual: SLFPCA.pdf


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


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