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fastrda  

Fast Redundancy Analysis (RDA) with High-Performance 'C++' Backend
View on CRAN: Click here


Download and install fastrda package within the R console
Install from CRAN:
install.packages("fastrda")

Install from Github:
library("remotes")
install_github("cran/fastrda")

Install by package version:
library("remotes")
install_version("fastrda", "0.2.0")



Attach the package and use:
library("fastrda")
Maintained by
Zeynel Cebeci
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-22
Latest Update: 2026-08-22
Description:
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.
How to cite:
Zeynel Cebeci (2026). fastrda: Fast Redundancy Analysis (RDA) with High-Performance 'C++' Backend. R package version 0.2.0, https://cran.r-project.org/web/packages/fastrda. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-08-21 16:30), 0.1.2 (2026-08-07 18:00)
Other packages that cited fastrda R package
View fastrda citation profile
Other R packages that fastrda depends, imports, suggests or enhances
Complete documentation for fastrda
Functions, R codes and Examples using the fastrda R package
Full fastrda package functions and examples
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