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fastrda

0.1.2

Fast Redundancy Analysis (RDA) with High-Performance 'C++' Backend

0packages depend
120downloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Zeynel CebeciFirst published 2026-08-071 releasesCRAN page ↗

Provides a high-performance implementation of redundancy analysis (RDA) in 'C++' using 'Armadillo' and 'OpenMP'. Supports standard and partial RDA, centering, scaling, overall and axis-wise permutation tests, biplot visualization, score extraction, and prediction. Designed for large ecological, genomic, and other multivariate data sets where computational speed and memory efficiency are important.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Check history
  • OK2026-08-08
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation signals are not tracked yet for this package.

Downloads

120
CRAN downloads in the past year
Rank #24,693 · ~0/day · ~10/mo
fastrda
Daily download trend is not available in this view yet.
12030 days
12090 days
1201 year
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Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (3)
Rcppparallelggplot2
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.2Latest
    2026-08-07 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-07
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Download size
622 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fastrda")
Cebeci, Z. (2026). fastrda: Fast Redundancy Analysis (RDA) with High-Performance 'C++' Backend (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.fastrda

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 fastrda version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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