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Partial Principal Component Analysis of Partitioned Large Sparse Matrices

0packages depend
2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Performs partial principal component analysis of a large sparse matrix. The matrix may be stored as a list of matrices to be concatenated (implicitly) horizontally. Useful application includes cases where the number of total nonzero entries exceed the capacity of 32 bit integers (e.g., with large Single Nucleotide Polymorphism data).

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

2K
CRAN downloads in the past year
Rank #23,141 · ~6/day · ~169/mo
Daily download trend is not available in this view yet.
22830 days
56290 days
2K1 year
Compare downloads with other packages →
Also on347 r2u1 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing pPCA adds 3 packages (3 with compiled code, 3.6 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RSpectra 125 KB.

Depends (3)
R >= 3.0.2methodsRSpectra
Imports (2)
MatrixRcpp
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0 (2024)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1Latest
    record
    2024-10-22 · current release · diff ↗
  • 1.0
    record
    2024-10-11
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-10-11
Total releases
2 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0.2
Download size
7.1 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pPCA")
Raja, S., & Dutta, S. (2024). pPCA: Partial Principal Component Analysis of Partitioned Large Sparse Matrices (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.pPCA

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 pPCA version 1.1 [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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