Fast Redundancy Analysis (RDA) with High-Performance 'C++' Backend R package fastrda version 0.2.0 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 required. Software 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 Zeynel Cebeci <cebeciz@gmail.com> Comprehensive R Archive Network (CRAN) Zeynel Cebeci [aut, cre] GPL (>= 3) 2026-08-21 application/tgz https://CRAN.R-project.org/package=fastrda doi:10.32614/CRAN.package.fastrda