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isqg  

In Silico Quantitative Genetics
View on CRAN: Click here


Download and install isqg package within the R console
Install from CRAN:
install.packages("isqg")

Install from Github:
library("remotes")
install_github("cran/isqg")

Install by package version:
library("remotes")
install_version("isqg", "1.4")



Attach the package and use:
library("isqg")
Maintained by
Fernando H. Toledo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-13
Latest Update: 2023-04-05
Description:
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 . A mix between low and high level interfaces provides great flexibility and allows user defined extensions and a wide range of applications.
How to cite:
Fernando H. Toledo (2018). isqg: In Silico Quantitative Genetics. R package version 1.4, https://cran.r-project.org/web/packages/isqg. Accessed 23 Apr. 2025.
Previous versions and publish date:
1.0 (2018-04-13 19:28), 1.1 (2018-05-08 23:44), 1.2 (2019-02-13 10:30), 1.3 (2020-06-02 09:40), 1.4 (2022-10-18 09:42)
Other packages that cited isqg R package
View isqg citation profile
Other R packages that isqg depends, imports, suggests or enhances
Functions, R codes and Examples using the isqg R package
Some associated functions: Data . Founder . Genotype . ISQG . Import . Mating . Specie . Specimen . Trait . dot-decode . dot-fuse . fitness . set_specie . 
Some associated R codes: Functions.R . Hooks.R . ISQG.R . Mating.R . R6Classes.R . RcppExports.R . Trait.R .  Full isqg package functions and examples
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