isqg: 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) <doi:10.1073/pnas.75.12.6332>. 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.

Version: 1.2
Imports: Rcpp (≥ 0.12.15), R6
LinkingTo: Rcpp, BH
Published: 2019-02-13
Author: Fernando H. Toledo [aut, cre], International Maize and Wheat Improvement Center [cph]
Maintainer: Fernando H. Toledo <f.toledo at>
License: GPL-2 | file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: isqg results


Reference manual: isqg.pdf
Package source: isqg_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: isqg_1.2.tgz, r-oldrel: isqg_1.2.tgz
Old sources: isqg archive


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