Fast Multivariate Analyses of Big Genomic Data

Fast computation of multivariate analyses of small (10s to 100s markers) to big (1000s to 100000s) genotype data. Runs Principal Component Analysis allowing for centering, z-score standardization and scaling for genetic drift, projection of ancient samples to modern genetic space and multivariate tests for differences in group location (Permutation-Based Multivariate Analysis of Variance) and dispersion (Permutation-Based Multivariate Analysis of Dispersion).


Reference manual

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1.1.0 by Christian Huber, a year ago

Browse source code at

Authors: Salvador Herrando-Perez [aut] , Ray Tobler [ctb] , Christian Huber [ctb, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports bootSVD, data.table, foreach, Rfast, RSpectra, vegan, vroom, Rcpp

Linking to Rcpp, RcppArmadillo

See at CRAN