Sparse Logistic Functional Principal Component Analysis
Overview
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().
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 2
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 50%
Downloads
Dependencies
Installing SLFPCA adds 76 packages (44 with compiled code, 74 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 3.0Latest
- RR 4.2.0 released · 2022-04-22
- 2.02022-02-03 · diff ↗
- 1.02021-08-20
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-08-20
- Total releases
- 3 / 5 yrs
- License
- GPL (>= 3) OSI
- Download size
- 7.6 KB
Cite
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Run in R for the authors' preferred citation:
citation("SLFPCA")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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