Fast PCA for Large Pedigrees
Overview
Carry out principal component analysis (PCA) of very large pedigrees such as found in breeding populations! This package exploits sparse matrices and randomised linear algebra to deliver a gazillion-times speed-up compared to naive singular value decoposition (SVD) (and eigen decomposition).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-08
- ERROR12 OK, 1 ERROR2026-06-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 17
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 44%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- pedigree-pca HTML
Downloads
Dependencies
Installing randPedPCA adds 6 packages (6 with compiled code, 6.8 MB of source tarballs). Heaviest: spam 3.1 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2025-04-24
- Total releases
- 4 / 1 yrs
- License
- GPL (>= 2) OSI · relicensed from MIT + file LICENSE in 1.1.3
- Minimum R
- ≥ 3.5
- Bundled data
- 462 KB / 6 files
- Download size
- 2.7 MB
Cite
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