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().
|Author||Rou Zhong [aut, cre]|
|Maintainer||Rou Zhong <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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