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randPedPCA

1.1.3Package record

Fast PCA for Large Pedigrees

0packages depend
2.2Kdownloads / year
70.3%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.3
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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%
Vignettes (1)

Downloads

2.2K
CRAN downloads in the past year
Rank #20,368 · ~6/day · ~182/mo
Daily download trend is not available in this view yet.
27130 days
64990 days
2.2K1 year
Compare downloads with other packages →
Also on75 r2u7 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

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.

Depends (6)
R >= 3.5spamMatrixmethodspedigreeToolsRSpectra
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Maintainer since 1.0.0 (2025)
Releases (4)

Pick two releases to compare their code metrics.

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

Cite this package

Run in R for the authors' preferred citation:

citation("randPedPCA")
Becher, H., Craddock, R., Gorjanc, G., & Lee, H. (2025). randPedPCA: Fast PCA for Large Pedigrees (Version 1.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.randPedPCA

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for randPedPCA version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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