Package: SLFPCA
Title: Sparse Logistic Functional Principal Component Analysis
Version: 3.0
Authors@R: c(person(given = "Rou", family = "Zhong", role = c("aut", "cre"),
                    email = "zhong_rou@163.com"),
             person(given = "Jingxiao", family = "Zhang", role = "aut"))
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().
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.1.1
Imports: fda, fdapace, psych, splines, stats
NeedsCompilation: no
Packaged: 2022-12-13 07:39:36 UTC; 11013
Author: Rou Zhong [aut, cre],
  Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou@163.com>
Repository: CRAN
Date/Publication: 2022-12-13 08:20:05 UTC
Built: R 4.6.0; ; 2026-04-30 16:51:41 UTC; unix
