In Silico Quantitative Genetics

Accomplish high performance simulations in quantitative genetics. The molecular genetic components are represented by R6/C++ classes and methods. Mimic the meiosis recombination and de novo genetic variability by means a count-location process (Karlin & Liberman, 1978) . The core computational algorithm is implemented using 'Boost' dynamic bitsets (Schaling, 2014) [ISBN:978-1937434366]. A mix between low and high level interfaces provides great flexibility and allows user defined extensions and a wide range of applications.


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install.packages("isqg")

1.2 by Fernando H. Toledo, 7 months ago


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


Authors: Fernando H. Toledo [aut, cre] , International Maize and Wheat Improvement Center [cph]


Documentation:   PDF Manual  


GPL-2 | file LICENSE license


Imports Rcpp, R6

Linking to Rcpp, BH

System requirements: C++11


See at CRAN