smartsnp: 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).

Version: 1.1.0
Depends: R (≥ 3.6.0)
Imports: bootSVD, data.table, foreach, Rfast, RSpectra, vegan, vroom, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-03-04
Author: Salvador Herrando-Perez ORCID iD [aut], Ray Tobler ORCID iD [ctb], Christian Huber ORCID iD [ctb, cre]
Maintainer: Christian Huber <christian.domitian.huber at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Language: en-GB
Materials: README NEWS
CRAN checks: smartsnp results

Downloads:

Reference manual: smartsnp.pdf
Package source: smartsnp_1.1.0.tar.gz
Windows binaries: r-devel: smartsnp_1.1.0.zip, r-devel-UCRT: smartsnp_1.1.0.zip, r-release: smartsnp_1.1.0.zip, r-oldrel: smartsnp_1.1.0.zip
macOS binaries: r-release (arm64): smartsnp_1.1.0.tgz, r-release (x86_64): smartsnp_1.1.0.tgz, r-oldrel: smartsnp_1.1.0.tgz

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