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: | 1.3 |
| Depends: | R (≥ 4.0.0) |
| Imports: | Rcpp (≥ 1.0.4), R6, Rdpack |
| LinkingTo: | Rcpp, BH |
| Published: | 2020-06-02 |
| Author: | Fernando H. Toledo [aut, cre] (<https://orcid.org/0000-0003-0158-643X>) International Maize and Wheat Improvement Center [cph] |
| Maintainer: | Fernando H. Toledo <f.toledo at cgiar.org> |
| License: | GPL-2 | file LICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | C++14 |
| Citation: | isqg citation info |
| CRAN checks: | isqg results |
| Reference manual: | isqg.pdf |
| Package source: | isqg_1.3.tar.gz |
| Windows binaries: | r-devel: isqg_1.3.zip, r-release: isqg_1.3.zip, r-oldrel: isqg_1.2.zip |
| macOS binaries: | r-release: isqg_1.3.tgz, r-oldrel: isqg_1.2.tgz |
| Old sources: | isqg archive |
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