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): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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