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.

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Package details

AuthorFernando H. Toledo [aut, cre], International Maize and Wheat Improvement Center [cph]
MaintainerFernando H. Toledo <[email protected]>
LicenseGPL-2 | file LICENSE
Package repositoryView on CRAN
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isqg documentation built on May 9, 2018, 1:04 a.m.