SLFPCA 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 by 4 Authors 1 Li, Haocheng 1 Liu, Shishi 1 Zhang, Jingxiao 1 Zhong, Rou Cited in 1 Serial 1 Statistics and Computing Cited in 1 Field 1 Statistics (62-XX) Citations by Year