SLFPCA: Sparse Logistic Functional Principal Component Analysis

Rou Zhong, Jingxiao Zhang · 2021

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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