swMATH ID: 44064
Software Authors: Rou Zhong, Jingxiao Zhang
Description: R package 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().
Homepage: https://cran.r-project.org/web/packages/SLFPCA/index.html
Source Code:  https://github.com/cran/SLFPCA
Dependencies: R
Keywords: functional principal component analysis; penalized Bernoulli likelihood; binary data; local sparsity; MM algorithm; R package
Related Software: R
Cited in: 1 Publication

Cited in 1 Serial

1 Statistics and Computing

Cited in 1 Field

1 Statistics (62-XX)

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