cpgen - Parallel genomic evaluations


The package offers a variety of functions that are frequently being used in genomic prediction and genomewide association studies. The package is based on Rcpp and RcppEigen, hence all routines are implemented using the matrix algebra library Eigen. The main emphasis of the package lies in parallel computing which is realized by C++ functions making use of OpenMP.


Package: cpgen
Type: Package
Version: 0.1
Date: 2014-07-10
License: License: GPL (>= 2)


Claas Heuer

Maintainer: Claas Heuer <cheuer@tierzucht.uni-kiel.de>


Guennebaud, G., Jacob, B., et al.: "Eigen v3". http://eigen.tuxfamily.org (2010)

Dirk Eddelbuettel and Romain Francois (2011). "Rcpp: Seamless R and C++ Integration". Journal of Statistical Software, 40(8), 1-18. URL http://www.jstatsoft.org/v40/i08/.

Douglas Bates, Dirk Eddelbuettel (2013). "Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package". Journal of Statistical Software, 52(5), 1-24. URL http://www.jstatsoft.org/v52/i05/.

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