funpca
9.0Functional Principal Component Analysis
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Overview
About
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.
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13OK
Slowest check: 2.4 min · r-devel-linux-x86_64-fedora-clang
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Tests · ratio 0.00
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100%
Documentation · exports
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Check history
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
- 80%
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Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (4)
BrobdingnagMASSnlmefda
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Code & Tests
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con, Thesis advisor
Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 9.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2023-06-15
- Total releases
- 1 / 3 yrs
- License
- GPL-2 OSI
- Download size
- 9.7 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet