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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 |
DOI: | 10.32614/CRAN.package.smartsnp |
Author: | Salvador Herrando-Perez [aut], Ray Tobler [ctb], Christian Huber [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 |
Reference manual: | smartsnp.pdf |
Package source: | smartsnp_1.1.0.tar.gz |
Windows binaries: | r-devel: 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-oldrel (arm64): smartsnp_1.1.0.tgz, r-release (x86_64): smartsnp_1.1.0.tgz, r-oldrel (x86_64): smartsnp_1.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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