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statgenGWAS

Genome Wide Association Studies

Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), . One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.

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install.packages("statgenGWAS")

1.0.7 by Bart-Jan van Rossum, 8 days ago

https://biometris.github.io/statgenGWAS/index.html, https://github.com/Biometris/statgenGWAS/

Report a bug at https://github.com/Biometris/statgenGWAS/issues

Browse source code at https://github.com/cran/statgenGWAS

Authors: Bart-Jan van Rossum [aut, cre] , Willem Kruijer [aut] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Ron Wehrens [ctb] , Choazhi Zheng [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports data.table, ggplot2, sommer, Rcpp

Suggests knitr, rmarkdown, officer, tinytest

Linking to Rcpp, RcppArmadillo

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