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SLFPCA (version 3.0)

Sparse Logistic Functional Principal Component Analysis

Description

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().

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Version

Install

install.packages('SLFPCA')

Monthly Downloads

170

Version

3.0

License

GPL (>= 3)

Maintainer

Rou Zhong

Last Published

December 13th, 2022

Functions in SLFPCA (3.0)

SLFPCA

Sparse logistic functional principal component analysis
GenBinaryFD

Generate binary functional data