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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().
Getting started
Browse package contents
Package details |
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| Author | Rou Zhong [aut, cre], Jingxiao Zhang [aut] |
| Maintainer | Rou Zhong <zhong_rou@163.com> |
| License | GPL (>= 3) |
| Version | 3.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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