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().

Getting started

Package details

AuthorRou Zhong [aut, cre]
MaintainerRou Zhong <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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SLFPCA documentation built on Aug. 20, 2021, 5:08 p.m.