isqg: In Silico Quantitative Genetics

Accomplish high performance simulations in quantitative genetics. The molecular genetic components are represented by R6/C++ classes and methods. The core computational algorithm is implemented using bitsets according to <doi:10.1534/g3.119.400373>. A mix between low and high level interfaces provides great flexibility and allows user defined extensions and a wide range of applications.

Version: 1.4
Depends: R (≥ 4.2)
Imports: Rcpp (≥ 1.0.6), R6 (≥ 2.5.0), Rdpack (≥ 2.1), methods
LinkingTo: Rcpp, BH
Published: 2022-10-18
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++14
Citation: isqg citation info
In views: Agriculture
CRAN checks: isqg results


Reference manual: isqg.pdf


Package source: isqg_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): isqg_1.4.tgz, r-oldrel (arm64): isqg_1.3.tgz, r-release (x86_64): isqg_1.4.tgz, r-oldrel (x86_64): isqg_1.3.tgz
Old sources: isqg archive


Please use the canonical form to link to this page.