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 cgiar.org> |
| 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: isqg_1.2.zip, r-release: isqg_1.2.zip, r-oldrel: isqg_1.2.zip |
| OS X binaries: | r-release: isqg_1.2.tgz, r-oldrel: isqg_1.2.tgz |
| Old sources: | isqg archive |
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