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().
| Version: |
2.0 |
| Imports: |
fda, fdapace, psych, splines, stats |
| Published: |
2022-02-03 |
| Author: |
Rou Zhong [aut, cre],
Jingxiao Zhang [aut] |
| Maintainer: |
Rou Zhong <zhong_rou at 163.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
SLFPCA results |
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