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

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.

Version: 0.1.2
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.0), parallel, ggplot2 (≥ 3.3.0)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.12.0)
Suggests: RhpcBLASctl, ggrepel (≥ 0.9.0), RColorBrewer (≥ 1.1-2), knitr, rmarkdown, vegan
Published: 2026-08-07
DOI: 10.32614/CRAN.package.fastrda (may not be active yet)
Author: Zeynel Cebeci [aut, cre]
Maintainer: Zeynel Cebeci <cebeciz at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: OpenMP
Citation: fastrda citation info
Materials: README
CRAN checks: fastrda results

Documentation:

Reference manual: fastrda.html , fastrda.pdf
Vignettes: Fast Redundancy Analysis with fastrda (source, R code)

Downloads:

Package source: fastrda_0.1.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): fastrda_0.1.2.tgz, r-oldrel (arm64): fastrda_0.1.2.tgz, r-release (x86_64): fastrda_0.1.2.tgz, r-oldrel (x86_64): fastrda_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fastrda to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.