Functional Principal Component Analysis
Overview
Functional principal component analysis under the Linear Mixed Models representation of smoothing splines. The method utilizes the Demmler-Reinsch basis and assumes error independence. For more details see: F. Rosales (2016) https://ediss.uni-goettingen.de/handle/11858/00-1735-0000-0028-87F9-6.
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
- 5 (1 internal)includes a package overview page
- Examples that run
- 0%3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 75%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 80%
Downloads
Dependencies
Installing funpca adds 38 packages (23 with compiled code, 33 MB of source tarballs). Heaviest: ggplot2 6.0 MB, fds 3.7 MB, mclust 2.7 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 9.0Latest2023-06-15 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-06-15
- Total releases
- 1 / 3 yrs
- License
- GPL-2 OSI
- Download size
- 9.7 KB
Cite
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